Inventors list

Assignees list

Classification tree browser

Top 100 Inventors

Top 100 Assignees


Lowpass filter (i.e., for blurring or smoothing)

Subclass of:

382 - Image analysis

382254000 - IMAGE ENHANCEMENT OR RESTORATION

382260000 - Image filter

Patent class list (only not empty are listed)

Deeper subclasses:

Entries
DocumentTitleDate
20080279473Enhancing the quality of decoded quantizes images - A system for image enhancement and, more particularly, a system for enhancing the quality of a quantized image.11-13-2008
20090202169IMAGE TRANSMITTING APPARATUS, IMAGE RECEIVING APPARATUS, IMAGE TRANSMITTING AND RECEIVING SYSTEM, RECORDING MEDIUM RECORDING IMAGE TRANSMITTING PROGRAM, AND RECORDING MEDIUM RECORDING IMAGE RECEIVING PROGRAM - An image transmitting apparatus includes a region detecting unit detecting, in an image, a region of interest matching a predetermined condition; a resolution converting unit selecting, for reducing resolution of the image, an image passed through a low-pass filter as an image outside the detected region of interest and an image not passed through the low-pass filter as an image inside the region of interest; and a transmitting unit transmitting the image with reduced resolution and positional information of the region of interest. An image receiving apparatus includes a resolution restoring unit performing image quality improvement processing on the region of interest obtained from the positional information and included in the image transmitted from the image transmitting apparatus so as to increase resolution in the region of interest; and a combining unit combining the image inside the processed region of interest with the image outside the region of interest.08-13-2009
20090190853IMAGE NOISE REDUCTION APPARATUS AND METHOD, RECORDED MEDIUM RECORDED THE PROGRAM PERFORMING IT - An apparatus and a method of reducing a noise component existed in a surrounding part of an image photographed in an image sensor. According to an aspect of the present invention, an apparatus differentially reducing a noise of an image according to an area of the image includes a filter area selecting unit, selecting a filter area including a plurality of adjacent pixels based on an object pixel; and a noise reducing unit, computing pixel data of the object by using pixel data of the plurality of adjacent pixels in the filter area, whereas the filter area selecting unit determines the size of the filter area according to the distance between the object pixel and a center pixel of the image. The present invention can prevent a noise component of a surrounding part from being amplified by using a different low pass filter in a center part and a surrounding part of an image and can acquire the resolution and quality of the desired image.07-30-2009
20100074552REMOVING BLUR FROM AN IMAGE - Embodiments related to the removal of blur from an image are disclosed. One disclosed embodiment provides a method of performing an iterative non-blind deconvolution of a blurred image to form an updated image. The method comprises downsampling the blurred image to form a blurred image pyramid comprising images of two or more different resolution scales, downsampling a blur kernel to form a blur kernel pyramid comprising kernels of two or more different sizes, and deconvoluting a selected image in the blurred image pyramid according to a Richardson-Lucy deconvolution process in which a bilateral range/spatial filter is employed.03-25-2010
20100074551LEARNING-BASED PARTIAL DIFFERENTIAL EQUATIONS FOR COMPUTER VISION - Partial differential equations (PDEs) are used in the invention for various problems in computer the vision space. The present invention provides a framework for learning a system of PDEs from real data to accomplish a specific vision task. In one embodiment, the system consists of two PDEs. One controls the evolution of the output. The other is for an indicator function that helps collect global information. Both PDEs are coupled equations between the output image and the indicator function, up to their second order partial derivatives. The way they are coupled is suggested by the shift and rotational invariance that the PDEs should hold. The coupling coefficients are learnt from real data via an optimal control technique. The invention provides learning-based PDEs that make a unified framework for handling different vision tasks, such as edge detection, denoising, segementation, and object detection.03-25-2010
20100074550Multi Format Video Filter Design - Current generation digital media processors support multi-format video resolutions, SDTV, Progressive Scan and HDTV. Built-in video encoders directly support NTSC and progressive 480 P video outputs. These two video formats have different image bandwidth and output gain requirements, but are normally filtered by fixed bandwidth filters. This invention provides adjustable filter bandwidth for improved video filtering and solves the dilemma on filter bandwidth design for multi-format video applications. The invention is applicable to video reconstruction filter applications requiring bandwidth adjustable filters.03-25-2010
20130077887METHODS AND SYSTEMS FOR UP-SCALING A STANDARD DEFINITION (SD) VIDEO TO HIGH DEFINITION (HD) QUALITY - A computerized system for up-scaling a source input video from a lower, first resolution to a desired output video having a higher, second resolution, using fractal zooming techniques to replace each individual source pixel of each respective frame of the source input video with a multiple of proposed replacement pixels in the vertical and horizontal dimensions having similar characteristics as the individual source pixel, converting each of the proposed replacement pixels into a desired color space for the desired output video, using low-pass filtering to reduce noise associated with each respective frame of the desired output video, down-sizing the output video to its desired resolution, and outputting each zoomed replacement frame to generate the desired output video.03-28-2013
20090274385SUPER RESOLUTION USING GAUSSIAN REGRESSION - A computer implemented technique for producing super resolution images from ordinary images or videos containing a number of images wherein a number of non-smooth low resolution patches comprising an image are found using edge detection methodologies. The low resolution patches are then transformed using selected basis of a Radial Basis Function (RBF) and Gaussian process regression is used to generate high resolution patches using a trained model. The high resolution patches are then combined into a high resolution image or video.11-05-2009
20100104213Image processing apparatus, image processing method, and computer program - An image processing apparatus includes: ΔΣ modulation means for applying, when predetermined signal processing is applied to a modulated image obtained by applying ΔΣ modulation to an image in a signal processing unit, the ΔΣ modulation to the image, wherein a frequency characteristic of noise shaping by the ΔΣ modulation is a characteristic opposite to a frequency characteristic of the predetermined signal processing.04-29-2010
20100040304IMAGE QUALITY IMPROVEMENT PROCESSING APPARATUS, IMAGE QUALITY IMPROVEMENT PROCESSING METHOD AND COMPUTER-READABLE RECORDING MEDIUM STORING IMAGE QUALITY IMPROVEMENT PROCESSING COMPUTER PROGRAM - The present invention provides an image quality improvement processing apparatus that removes occlusion regions and regions that the registration error is large, selects pixels suitable for the image quality improvement processing, and generates an image with high image quality.02-18-2010
20130084023MULTISTEP CORRECTION FOR ANGLE CONSISTENT ARTIFACTS IN RADIAL SAMPLED DATASETS - This document discloses, among other things, a method for removing a bullseye artifact from a radial image generated using magnetic resonance and using a swept frequency pulse.04-04-2013
20130058591IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - In the conventional method, the burden of the processing is very heavy because tracking of light beams is performed and an erroneous estimation of a shape causes a factor to deteriorate image quality. An image processing apparatus that generates composite image data using multi-viewpoint image data obtained by capturing images from a plurality of viewpoints is characterized by including a filter processing unit configured to perform filter processing on the multi-viewpoint image data based on distance information indicative of a distance to a subject and a generation unit configured to generate composite image data by combining the multi-viewpoint image data on which the filter processing has been performed.03-07-2013
20090238488APPARATUS AND METHOD FOR IMAGE INTERPOLATION BASED ON LOW PASS FILTERING - An apparatus and method for image interpolation based on low pass filtering are provided. The apparatus includes an edge direction detector detecting an edge direction for a pixel nearest to a to-be-interpolated pixel among pixels and determining the edge direction of the to-be-interpolated pixel as the detected edge direction, a pixel value calculator calculating pixel values of interpolation points located in a lattice filtering window having a predetermined size by using pixel values of pixels located adjacent to the interpolation points, and a filtering unit performing low pass filtering on the to-be-located pixel according to a low pass filter corresponding to the determined edge direction of the to-be-interpolated pixel, the low pass filter being one of low pass filters corresponding to predetermined vertical, horizontal, left diagonal and right diagonal directions respectively. Accordingly, a process of calculating the pixel value of the to-be-interpolated pixel can be simplified and a processing speed can be increased. Furthermore, it is possible to obtain a high-quality image without having image deterioration such as blocking effect caused by an error in a pixel value even for a region with an uneven edge.09-24-2009
20080298710Image signal processing apparatus for generating bright signal of high reproducibility - An image signal processing apparatus and method for processing an image signal input from an analog-to-digital converter (ADC) in a pixel-by-pixel basis and generating a bright signal corresponding to chrominance signals comprise a low pass filter (LPF), an subtractor, an adder, and a bright signal controller. The LPF cancels a high frequency component of the chrominance signals contained in the input image signal. The subtractor generates a high frequency component signal by subtracting an output signal of the LPF from the input image signal. The adder generates the bright signal by adding the high frequency component signal generated by the subtractor to the output signal of the LPF. The bright signal controller increases the high frequency component signal generated by the subtractor if a pixel position of the input image signal is within an object range, and decreases the high frequency component signal generated by the subtractor if a pixel position of the input image signal is out of the object range.12-04-2008
20120237136ENHANCING DYNAMIC RANGES OF IMAGES - Methods and apparatus according to various aspects take as input image data in a lower-dynamic-range (LDR) format and produce as output enhanced image data having a dynamic range greater than that of the input image data (i.e. higher-dynamic range (HDR) image data). In some embodiments, the methods are applied to video data and are performed in real-time (i.e. processing of video frames to enhance the dynamic range of the video frames is completed at least on average at the frame rate of the video signal).09-20-2012
20130163895IMAGE PROCESSING FOR REMOVING A NOISE COMPONENT CONTAINED IN AN IMAGE - An image processing method for removing a noise component contained in an original image, includes: separating an original image into a temporary noise-free image and a temporary noise component; extracting an edge component in the temporary noise-free image by executing edge detection on the temporary noise-free image; determining a fine edge component in the original image contained in the temporary noise component based upon a level of the extracted edge component; extracting an actual noise component by excluding the fine edge component from the temporary noise component; and removing noise from the original image based upon the extracted actual noise component.06-27-2013
20090041372Method for an Image Adjustment - A method for an image adjustment is disclosed. The method comprises the steps of: reading an interested pixel and its plural neighboring pixels from an image storage device; determining a so-called first gradient value of the first direction and a so-called second gradient value of the second direction, wherein the first direction is the orthogonal direction of the second direction; comparing the first and the second gradient values; executing a sharpness adjustment to the interested pixel along the direction which has larger gradient value; then executing a noise reduction or smoothing adjustment to the interested pixel along the direction which has smaller gradient value; and repeating the steps until all interested pixels are processed and obtaining a new pixel value.02-12-2009
20090148061Method and System for Imaging with a Zoom - An imaging system and method are presented for use in imaging with zoom. The system comprises a pixel detector array (PDA), an optical focusing arrangement, and a spatial filter configured and operable to selectively switch between at least two transmitting states. Distributions of an optical resolution of the optical focusing arrangement and of a geometrical resolution of the PDA define an aliasing window along an at least one direction.06-11-2009
20090208129Image Generating Apparatus and Method - There are provided an image generating apparatus and an image generating method, which are capable of generating an image with only a noise portion reliably deleted. A reduced image is generated by reducing the multi-valued image, smoothing processing is executed on the reduced image, an edge image is generated from the reduced image, edge angle information concerning edge angles is generated in pixel units from the edge image, a synthesizing rate of the multi-valued image and the smoothed reduced image is calculated in pixel units of the reduced image based upon the edge angle information. An enlarged image is generated by enlarging the smoothed reduced image to an identical scale, the synthesizing rate calculated in pixel units of the reduced image is converted into a synthesizing rate in pixel units of the enlarged image, and the multi-valued image and the enlarged image are synthesized based upon the converted synthesizing rate.08-20-2009
20100086229Image signal processing apparatus and method - An image signal processing method. A first coefficient indicating a probability that a first pixel of an input image is an edge may be calculated. A first edge enhanced signal where an edge of the input image is enhanced may be multiplied with the first coefficient, and a first low-pass filtered signal where the input image is low-pass filtered may be multiplied with a second coefficient indicating a probability that the first pixel is not an edge. The two calculated values may be added, and thus an edge enhanced signal may be generated.04-08-2010
20100080484Image Processing Apparatus, Image Processing Method, and Computer Program - An image processing apparatus capable of executing filter processing with a desired blurring degree selected in accordance with an application from a multi-valued image captured an object surface, the image processing apparatus comprises: a first filter processing device for executing smoothing processing on the multi-valued image, a second filter processing device for creating a reduced image reduced from the multi-valued image with an image reduction ratio, executing smoothing processing on the reduced image, and creating an enlarged image of the smoothed image enlarged with an image enlargement ratio corresponding to the image reduction ratio, and an image display device for displaying a processed image by the first filter processing device or the second filter processing device.04-01-2010
20090141998IMAGE PROCESSING DEVICE, IMAGE DISPLAY DEVICE, AND IMAGE PROCESSING METHOD THEREFOR - It is an object to provide an image processing device, an image display device, and an image processing method therefor that are capable of curbing generation of a pseudo edge in a digital image.06-04-2009
20090279806IMAGE QUALITY IMPROVING APPARATUS AND IMAGE QUALITY IMPROVING METHOD - Unnecessary flare correction at the boundary between a blanking area and video signal area is suppressed. An image quality improving apparatus includes 2-dimensional low-pass filter circuit 11-12-2009
20100061650Method And Apparatus For Providing A Variable Filter Size For Providing Image Effects - A de-noising circuit for filtering image data is provided. The de-noising circuit includes a buffer for storing a portion of the image data and detail detection circuitry configured to determine a filter size. The determined filter size is then applied to a captured image to improve the quality of the image by smoothing transitions within the image. To determine an appropriate filter size, a comparison is made between a sum of differences between a center pixel value within a first pixel matrix size and all of the remaining values within the first pixel matrix size, and a threshold range value. The threshold range value corresponds to a specific filter size. Various filter sizes are provided allowing for different smoothing effects, depending on the filter size used. Selection circuitry configured to select between either unfiltered data, or filtered data using one of various sizes of filters based on a selection signal from the detail detection circuitry is included.03-11-2010
20120294548METHODS FOR DIGITAL IMAGE SHARPENING WITH NOISE AMPLIFICATION AVOIDANCE - A method for sharpening an original digital image includes generating a smoothed image from the original image. A residual image is generated from the smoothed image and the original image. A sharpened smoothed image is generated. The residual image and the sharpened smoothed image are combined to produce a sharpened version of the original image.11-22-2012
20110268368IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus creates a basic-structure component image representing an image that an input image except edge is smoothed while preserving the edge in the input image; and creates a detail component image representing an image that the basic-structure component image is subtracted from the input image. Subsequently, the image processing apparatus decomposes the detail component image into a plurality of frequency-band images through multiresolution transform processing, and performs noise removal on the obtained frequency-band images. After that, the image processing apparatus performs inverse multiresolution transform processing of combining the noise-removed frequency-band images, thereby creating a noise-removed detail-component image.11-03-2011
20090097773IMAGE PROCESSING DEVICE AND METHOD AND PROGRAM - An image processing device to process a moving image, which is shot by a video shooting device, in increments of access units, includes: a correcting unit to correct the access unit to be processed by changing the properties of a low-pass filter which indicates imaging blur according to parameter values showing the properties of imaging blur which occurs at the time that the moving image is shot with the video shooting device, generating an inverse filter having inverse properties as to the low-pass filter, and performing processing to apply the inverse filters as to the access unit to be processed; wherein, with a frequency of which the frequency property of the low-pass filter indicating the imaging blur is zero being zero points, performing processing to apply the inverse filter is forbidden for predetermined frequency components of the frequency components of the access unit to be processed including the zero points.04-16-2009
20090123085IMAGE PROCESSING APPARATUS, IMAGE FORMING APPARATUS AND IMAGE PROCESSING METHOD - A local density calculation section calculates a density of a pixel region with a predetermined size including a current point of an input image disposed at the center on the basis of a pixel value of the pixel region. A mixing ratio calculation section generates a coefficient set of coefficients α and β in accordance with a local density value calculated by the local density calculation section, and outputs the generated coefficients α and β to a weight process section. The weight process section multiplies an operation result obtained from the input image by a first filter operation section by the coefficient α, multiplies an operation result obtained from the input image by a second filter operation section by the coefficient β, adds the multiplied results to each other and outputs the result of addition as a process result of a spatial filter process section.05-14-2009
20090161980SPECKLE REPORTING IN DIGITAL RADIOGRAPHIC IMAGING - A method for reporting image quality obtains a digital radiological image and processes the image to detect at least one speckle. Noise signal magnitude in the digital radiological image is estimated. At least one speckle is identified according to its signal magnitude relative to the noise signal estimate. The at least one speckle detected in the image is reported.06-25-2009
20090129696IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus is configured to reduce a color blur in a color image, and includes a color blur process determination part configured to change at least one of a color blur that serves as a reduction object and an estimation method of an amount of the color blur according to at least one of a characteristic of an image and an imaging condition.05-21-2009
20080310751Method And Apparatus For Providing A Variable Blur - A de-noising circuit for filtering image data is provided. The denoising circuit includes a buffer for storing a portion of the image data and detail detection circuitry configured to determine a filter coefficient to be applied to a reference pixel value within the portion of the image data. A blur filter configured to average values within the portion of the image data is included. The blur filter repeats the reference pixel value as specified by the filter coefficient to generate blurred image data. Selection circuitry configured to select between the blurred image data and the unfiltered image data based on a selection signal from the detail detection circuitry is included. A method for filtering image data and a device are also included.12-18-2008
20090185756Image processing device and image processing method - An image processing device is for generating a smoothed image with an input image blurred. The device includes first low pass filters each set with a different range of level value, using each pixel in the input image or a first input image generated based on the input image as a pixel of interest, extracting each pixel that has a level value of each pixel in a filter size within a range of level value, and generating a first level value limit smoothed image by smoothing a level value of an extracted pixel to be used as a level value of the pixel of interest. The device also includes a first synthesis processing unit that uses each pixel in the input image or a second input image generated based on the input image as a processing object pixel.07-23-2009
20090052798METHOD FOR ELIMINATING NOISE FROM IMAGE GENERATED BY IMAGE SENSOR - A method for eliminating noise from an image generated by an image sensor, includes: setting a group of pixels arranged in a square matrix and including a central pixel intended to eliminate the noise in the image and peripheral pixels arranged around the central pixel; obtaining absolute difference values between a luminance value of the central pixel and a luminance value of the peripheral pixels according to directionalities of the peripheral pixels about the central pixel; comparing the obtained absolute difference values with first critical values to determine a region to which the central pixel belongs; when the determined region is the contour region, eliminating noise of the group of the pixels according to directionality of the contour; and when the determined region is the noise region, eliminating the noise of the group of the pixels according to a noise level of the group of the pixels.02-26-2009
20090087119METHOD AND APPARATUS FOR ARBITRARY RATIO IMAGE REDUCTION - Disclosed is a method for re-sampling an input image comprising input samples to produce an output image comprising output samples. The method includes the following steps. A set of kernel values (04-02-2009
20090257676SYSTEMS AND METHODS FOR PICTURE EDGE ENHANCEMENT - Systems and methods for effectively and naturally enhancing the relative contrast between an image object and the surrounding background image in television pictures. In one embodiment, a television system preferably comprises a central processing unit (CPU) coupled to an audio-video output unit. The CPU preferably comprises non-volatile memory coupled to a logic unit which is adapted to receive and process a program signal S10-15-2009
20110229052BLUR FUNCTION MODELING FOR DEPTH OF FIELD RENDERING - A method and apparatus of depth of field rendering which simulates larger apertures for images captured at a smaller aperture. The depth of field rendering provides selective simulation of out-of-focus effects which are attainable with cameras having a larger aperture when capturing images at a smaller aperture. A blur function model is created based on the relationship between the blur change and the aperture change. This model is used to determine the blur difference which would arise between two images taken at two different apertures. Then the out-of-focus effect is generated by blurring the image in a rendering process based on the blur difference.09-22-2011
20100177982IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND IMAGING DEVICE - An image processing device includes: an estimated plane calculation portion calculating, for inputted image data, estimated planes defined by luminance values in blocks each containing a predetermined number of pixels including a reference pixel; an optimal estimated plane selection portion selecting an optimal estimated plane having a least summation of errors between luminance values of respective pixels in a block and an estimated plane among the estimated planes; a weighting factor calculation portion calculating a weighting factor for the reference pixel base on luminance values of the reference pixel and in the optimal estimated plane; and a weighted smoothing portion computing a sum of products of relative luminance differences between the luminance values of the respective pixels in the block and in the optimal estimated plane and the weighting factor for the reference pixel and adding a luminance value in the optimal estimated plane at a reference pixel position to a result of computation.07-15-2010
20090297057IMAGE PROCESSING APPARATUS AND METHOD - An image processing apparatus and a method thereof are introduced herein. In the method, an image is divided into a plurality of blocks, and a corresponding image processing ratio is set to each of the blocks, wherein each of the blocks includes a plurality of image unit data. Next, the image processing ratios are stored in a filter table, wherein the image unit data of each of the blocks has the corresponding image processing ratio. Next, the filter table is read out and decoded to generate a plurality of filter coefficients, and the corresponding image unit data is obtained according to each of the filter coefficients. Next, filter operation is performed to the corresponding image data and the filter coefficient for outputting a filter operated image data. The image processing ratio can be a zoon ratio or a blur ratio.12-03-2009
20100150466IMAGE PROCESSING METHOD AND IMAGE PROCESSING APPARATUS - To effectively remove halo in an image processing method and an image processing apparatus for compressing the dynamic range of an image to convert the image to an image suitable for image recording or image display. The means for achieving this purpose comprises, in an image processing method for compressing the dynamic range of an image, an inputting step of inputting image data; a low frequency component calculating step of calculating the low frequency component of the input image data for each pixel; an image processing step of calculating an image process value for each pixel by use of an equation indicated below; and an outputting step of outputting image data including the image process value calculated in the image processing step. Snp=a06-17-2010
20100226589System, method, and computer program product for smoothing - A system and method for a hybrid, variational, user-controlled, 3D mesh smoothing for orphaned shell meshes. The smoothing model is based on a variational combination of energy and equi-potential minimization theories. A variety of smoothing techniques for predicting a new location for the node-to-smooth are employed. Each node is moved according to a specific smoothing algorithm so as to keep element included angles, skew and distortion to a minimum. The variational smoother selection logic is based on nodal valency and element connectivity pattern of the node to smooth. Results show its consistency with both quadrilateral and quad-dominant meshes with a significant gain over conventional Laplacian schemes in terms of mesh quality, stability, user control and flexibility.09-09-2010
20100239181Device for Removing Mosquito Noise and Associated Method - A device for removing mosquito noise and associated method is provided to adaptively determine a proper strength for removing the mosquito noise according to image complexities, thereby removing the noise while maintaining the quality of image details. The device includes a buffer, a lookup table, and a strength determining unit. The buffer stores a pixel matrix having a target pixel. The lookup table stores a plurality of coefficients. The strength determining unit, coupled to the buffer and the lookup table, detects the image complexities of the pixel matrix and looks up the lookup table according to the image complexities of the pixel matrix, so as to output a strength coefficient for removing the mosquito noise.09-23-2010
20090317016Movement-adaptive noise reduction apparatus, image signal processing apparatus, image inputting processing apparatus and movement-adaptive noise reduction method - Disclosed herein is a movement-adaptive noise reduction apparatus, including a memory, a mixing control section, a movement component extraction section, a low-pass filter section, and a movement decision control section. In the apparatus, the movement decision control section and the low-pass filter section receive, from the outside, information regarding the gain value upon an amplification process to which the image signal is subjected before inputted to the mixing control section to control at least one of the threshold value and the filter characteristic in response to the information.12-24-2009
20110170796Method And System For Increasing Signal-To-Noise Ratio - Methods and systems for increasing the signal-to-noise ratio for satellite sensor data or signals, such as hyperspectral imageries (also referred to as datacubes due to their 3-dimensional nature). This is done by reducing the noise in the data or signals by first elevating the noise level temporarily for effective denoising. The denoising process is then performed in this condition and the noise level is then reversibly de-elevated after denoising. The denoising process comprises noise removal in both the spectral and the spatial domains. Once the denoising process is complete, the data is converted back from the spectral and spatial domains. Since this reconstruction process introduces errors, these errors are compensated for using the components from both the original data and denoised data filtered by the low pass filters.07-14-2011
20100183240Image processing method and imaging apparatus - An image processing method for reducing noise of an image to be filtered; the method includes a step of creating shrunken image of shrinking ratio r×r (where r is a natural number) by averaging the pixel values for each pixel in a block for every r pixels, a step of obtaining the pixel value in the shrunken image that correspond to the focus pixel in the source image by performing linear interpolation from the shrunken image pixels, a step of determining the noise reduction filter from the focus pixel and reference pixel in the shrunken image, and a step of computing the compensated pixel value of the focus pixel in the source image by weighted sum of each pixel value applying the filter to the focus pixel in the source image and the corresponding shrunken pixel.07-22-2010
20110243472IMAGE PROCESSING DEVICE AND SPATIAL NOISE REDUCING METHOD - The invention discloses an image processing device and method thereof. The image processing device includes an local variance estimator, a noise detector, a spatial de-noise filter. The local variance estimator estimates each pixel of an input image signal to separately output a local variance value of each pixel, and generates a noise threshold according to the local variance values. The noise detector determines which pixel indicates noise or image according to the noise threshold. The spatial de-noise filter filers the pixel indicating noise to generate an output image signal.10-06-2011
20110081095IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - A characteristic image detection interpolation unit performs interpolation processing for increasing the luminance value in low-luminance area which is partly present in an input image. A minimum value filter unit executes minimum value filter processing on an image subjected to the interpolation processing, and a lowpass filter performs lowpass filter processing on the image subjected to the minimum value filter processing, thereby generating a low-frequency component image. A subtracter generates a high-frequency component image by subtracting the low-frequency component image from the input image. Coefficient multiplier adds the luminance value of the high-frequency component image to the input image by a preset ratio K04-07-2011
20100150467Methods, systems, and computer readable media for synthetic wavelength-based phase unwrapping in optical coherence tomography and spectral domain phase microscopy - In accordance with this disclosure, methods, systems, and computer readable media for synthetic wavelength-based phase unwrapping in optical coherence tomography are provided. Synthetic wavelength phase unwrapping can be applied to OCT data and can correctly resolve sample motions that are larger than λ06-17-2010
20090041373Method for Discriminating Textures Regions and Homogeneous or Flat Regions in an Image and Methods for Estimating Noise in an Image Sequence - A method for discriminating textured regions and homogeneous or flat regions in an image. A multi-scale or multi-resolution measurement is performed with respect to the image. Alternatively or additionally, the image is analyzed by using a prior measured noise value and a local variance value in or with respect to the image.02-12-2009
20110038558METHOD AND APPARATUS FOR RECONSTRUCTING A HIGH-RESOLUTION IMAGE BY USING MULTI-LAYER LOW-RESOLUTION IMAGES - A method of reconstructing a high-resolution image by using multi-layer low-resolution images includes dividing a low-resolution image into a plurality of texture layer low-resolution images and a plurality of base layer low-resolution images; generating a texture layer high-resolution image by compositing the plurality of the texture layer low-resolution images and generating a base layer high-resolution image by compositing the plurality of the base layer low-resolution images; and outputting a high-resolution image by compositing the texture layer high-resolution image and the base layer high-resolution image.02-17-2011
20100014772Signal line correction method and apparatus - A method for use with a radiation image detector, including the steps of detecting a faulty signal line having a signal amount less than a predetermined threshold value based on radiation image signals read out from the detector, setting a signal line adjacent to the faulty signal line as an abnormal signal line and a signal line adjacent to the abnormal signal line and having a normal amount of signal as a reference signal line, calculating the difference between a signal read out by the abnormal signal line and a signal read out by the reference signal line as a correction amount, calculating a low frequency component correction amount by removing a high frequency component from the calculated correction amount, and performing a correction on the signal read out by the abnormal signal line by adding the calculated low frequency component correction amount to the signal.01-21-2010
20090034868ENHANCING DYNAMIC RANGES OF IMAGES - Methods and apparatus according to various aspects take as input image data in a lower-dynamic-range (LDR) format and produce as output enhanced image data having a dynamic range greater than that of the input image data (i.e. higher-dynamic range (HDR) image data). In some embodiments, the methods are applied to video data and are performed in real-time (i.e. processing of video frames to enhance the dynamic range of the video frames is completed at least on average at the frame rate of the video signal).02-05-2009
20090034867ENHANCING DYNAMIC RANGES OF IMAGES - Methods and apparatus according to various aspects take as input image data in a lower-dynamic-range (LDR) format and produce as output enhanced image data having a dynamic range greater than that of the input image data (i.e. higher-dynamic range (HDR) image data). In some embodiments, the methods are applied to video data and are performed in real-time (i.e. processing of video frames to enhance the dynamic range of the video frames is completed at least on average at the frame rate of the video signal).02-05-2009
20110081096APPARATUS AND METHOD FOR IMAGE NOISE REDUCTION - A device and method for removing noise in image are disclosed. A device for removing noise in image includes a signal delay part outputting arrangement of image delay signals generated by delaying input image signals in a predetermined time period, a pixel difference calculating part calculating pixel difference between the input image signal and the image delay signal and calculating a weighing factor applied to the pixel difference based on the calculated pixel difference by a non-linear function, a signal to noise ratio (SNR) measuring part converting the input image signals into frequency signals and calculating a weighing factor for each of the converted frequency signals to output a parameter of signal to noise ratio, and a pixel difference weighing factor generating part generating a weighing factor applied to a final pixel difference to remove noise by applying a range of the weighing factors calculated by the pixel difference calculating part to the weighing factor of the signal to noise ratio output by the SNR measuring part.04-07-2011
20110069903IMAGE PROCESSING APPARATUS, DISPLAY DEVICE, AND IMAGE PROCESSING METHOD - According to one embodiment, an image processing apparatus includes an obtaining module, a coefficient filter, a large area filter, and a determination module. The obtaining module obtains a feature value indicating an image structure of a pixel block comprising a target pixel to be processed and a surrounding pixel neighboring the target pixel in an input image. The coefficient filter performs filtering on the pixel block using a filter coefficient corresponding to the feature value. The large area filter performs smoothing on a pixel block that are larger than blocks used with coefficient filter. The determination module determines to cause the large area filter to perform the smoothing when the image structure indicated by the feature value is smooth.03-24-2011
20090022416REDUCTION OF COMPRESSION ARTEFACTS IN DISPLAYED IMAGES, ANALYSIS OF ENCODING PARAMETERS - A hither before unknown cause of image artefacts has been identified. Encoders such as MPEG encoders may use two picture structures: Field pictures and frame pictures. For a frame picture both frame and field-based DCT (and other types) of coding may be used. The decision whether to use frame or field based coding is not always made correctly. In the decoded image this leads to an image artefact visible as stripped blocks. The invention reduces, in one aspect of the invention, these artefacts by analyzing the block content on the presence of such artefacts and if the analysis proof the existence of such artefacts applying a vertical low pass filter to the data in the block. In another aspect of the invention encoding parameters are checked for combination of encoding parameters for which the artefact may occur and such blocks are indicated. The invention may be embodied in a method as well as in a device such as a receiver, encoder, decoder, display device etc.01-22-2009
20130121609METHOD FOR RESTORING AND ENHANCING SPACE BASED IMAGE OF POINT OR SPOT OBJECTS - A method for restoring and enhancing a space based image of point or spot objects. The method includes: 1) dividing a space-variable degraded image into multiple space-invariant image sub-blocks, and constructing a point spread function for each of the image sub-blocks; 2) correcting each of the image sub-blocks via a space-invariant image correction method whereby obtaining a corrected image {circumflex over (f)}05-16-2013
20100303377IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND COMPUTER READABLE MEDIUM - An image processing apparatus includes a characteristic value calculator configured to calculate characteristic values of input pixels based on an input pixel signal and a tone controller configured to perform a tone control independently by each of the input pixels using control parameters corresponding to brightness of a peripheral pixel in vicinity of the corresponding input pixel based on each of the characteristic values calculated by the characteristic value calculator.12-02-2010
20120148172IMAGE PROJECTION APPARATUS, CONTROL METHOD, AND PROGRAM - An image projection apparatus includes a calculation unit, a band limiting unit, a reduction processing unit, and an edge enhancement unit. The calculation unit calculates a reduction ratio of an input image. The band limiting unit applies a low-pass filter to the input image. The reduction processing unit produces a reduced image by performing reduction processing with respect to the input image which has undergone an application of the low-pass filter by the band limiting unit using the reduction ratio calculated by the calculation unit. The edge enhancement unit sets a frequency characteristic of a bandpass filter based on a cutoff frequency used by the band limiting unit to apply a low-pass filter to the input image, and performs, using the frequency characteristic, edge enhancement processing with respect to the image reduced by the reduction processing unit.06-14-2012
20110097011MULTI-RESOLUTION IMAGE EDITING - Visual elements of a first image are changed in accordance with an image editing process to produce an edited high-resolution image and visual elements of a second image are modified in accordance with an emulator process to produce a modified low-resolution image. The emulator process produces the modified low-resolution image with visual changes relative to the second image that mimic perceived visual changes made to the visual elements of the first image by the image editing process to produce the edited high-resolution image. The emulator process is built from a set of one or more image enhancement processes in accordance with an optimization process.04-28-2011
20110176744Apparatus and method for image interpolation using anisotropic gaussian filter - An apparatus and method for image interpolation using an anisotropic Gaussian filter, the image interpolation apparatus including: an edge information calculator calculating a first edge orientation that is an orientation of an edge of each of a plurality of pixels that constitute an input low resolution image, and first edge orientation energy that is a maximal strength of the edge corresponding to the first edge orientation; an image enlarging unit calculating a second edge orientation and second edge orientation energy of each of pixels to be interpolated, which are obtained by subtracting reference pixels corresponding to each of the pixels of the low resolution image among a plurality of pixels that constitute the high resolution image that is obtained by enlarging the low resolution image, based on the first edge orientation and the first edge orientation energy of the adjacent reference pixels; and a pixel value calculator calculating a value of each of the pixels to be interpolated, by using an interpolation filter having a direction and a width determined according to the second edge orientation and the second edge orientation energy of each of the pixels to be interpolated. The Gaussian filter having a direction and a width that are adaptively adjusted according to an orientation and strength of an edge is used to interpolate values of pixels of a high resolution image that is obtained by image enlargement so that deterioration of image quality can be minimized with a small amount of calculation and an image with high quality and high resolution can be generated.07-21-2011
20100260433SYSTEM AND METHOD FOR SCALING IMAGES - A system and method for scaling images are provided. An upscaling algorithm or function is employed that increases the size of an image and then filters the upscaled image to remove aliasing artifacts. The system and method provides for acquiring an image of a first size, detecting the geometry of the image, scaling the image to a second size, and filtering the scaled image with at least one filter based on the detected geometry. During the filtering process, the edges of objects in the upscaled image are detected and different filter frequency responses are provided for the detected edges. Providing different filter frequency responses for the detected edges preserves more details for line images.10-14-2010
20100067822SYSTEM AND METHOD OF SUPER-RESOLUTION IMAGING FROM A SEQUENCE OF TRANSLATED AND ROTATED LOW-RESOLUTION IMAGES - A method and system for super-resolving images from low-resolution sequences comprising an image processor having an input for inputting multiple images of a scene with sub-pixel translations and rotations; one of the images of the scene being a reference image; and at least one memory comprising a gross translation estimation algorithm for estimating overall translations of at least one image with respect to the reference image on the image processor and aligning the inputted images according to the gross translation estimates on the image processor; a sub-pixel estimation algorithm for obtaining the sub-pixel shift and rotation of each image with respect to the reference image; and an error reduction algorithm for applying at least one spatial frequency domain constraint and at least one spatial domain constraint to the images to produce a high-resolution image.03-18-2010
20100027906Image processing unit, noise reduction method, program and storage medium - An image processing unit is disclosed that smoothens a notice pixel of input image data with pixel values of pixels around the notice pixel to reduce noise in the image data. The image processing unit includes an edge extraction unit that extracts an edge based on the pixel values of the image data; a region determination unit that determines a region to be processed where a sum of edge intensities of the pixels including the notice pixel becomes greater than or equal to a threshold; and a smoothening unit that changes a smoothening intensity in accordance with a size of the region to be processed to smoothen the notice pixel corresponding to the region to be processed.02-04-2010
20120308153DEVICE AND METHOD OF REMOVING NOISE IN EDGE AREA - At the time of processing of an image signal from an image sensor mounted in a small electronic apparatus (e.g. a mobile apparatus), in order to remove noise, certain steps are performed, in accordance with embodiments. Edge values may be detected from an area to be smoothed to detect a feature point. Weights depending on a geometric distance with respect to the feature point may be applied to pixels distributed in the smoothed area. A brightness value as reference may be calculated in consideration of a difference in brightness between a center pixel and a peripheral pixel. Weights may be applied depending on the brightness values of the pixels to perform smoothing. It may therefore be possible to effectively remove noise while maintaining the level on the edge area.12-06-2012
20100098350Blur Computation Algorithm - Disclosed herein is an improved blur computation algorithm. The proposed algorithm accomplishes a blur of an image using fragment programs on a GPU. Alternatively, the blur may be computed on a CPU through emulation or directly programmed. Modifications of the program are possible that accomplish motion blur, zoom blur, radial blur, and various other forms of blur that vary across an image computed for the purpose of simulating depth-of-field.04-22-2010
20120301048IMAGE PROCESSING APPARATUS AND METHOD - There is provided an image processing apparatus including a first image processing unit configured to perform image processing affecting a high frequency component used to generate a detail component of an image, a detail component generating unit configured to generate the detail component, which is emphasized, using an output of the first image processing unit, and an emphasis unit configured to emphasize detail of the image by combining the emphasized detail component generated by the detail component generating unit with the image.11-29-2012
20120155785REAL-TIME VIDEO DEBLURRING - A method of reducing blurring in an image of size greater than M columns by N rows of pixels, comprises deriving a blur kernel k representing the blur in the image, and deriving an inverse blur kernel k06-21-2012
20110085743METHOD AND SYSTEM FOR REDUCING RINGING ARTIFACTS OF IMAGE DECONVOLUTION - The present invention relates to a method for reducing ringing artifacts of image deconvolution. A deconvolution is applied to the original blurred image and edges are detected within the deconvolved image. Then edge tapering on the original blurred image is performed based on the detected edges.04-14-2011
20100290714Image processing apparatus and image processing method - To compress a dynamic range of an input image based on a relative value indicating a difference between a luminance value indicating a level value of a correction target pixel in the input image and a luminance value indicating a level value of a smoothed pixel obtained by smoothing a neighboring pixel of the correction target pixel, an image processing apparatus generates a reduced image by reducing the input image, generates a smoothed image from the generated reduced image by smoothing the reduced image while keeping an edge portion thereof, generates an enlarged image by enlarging the generated smoothed image to the size of the original input image, and generates an output image by compressing the dynamic range of the input image, based on relative values between the generated enlarged image and the input image.11-18-2010
20100092103IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING PROGRAM - An image processing apparatus includes: an image obtaining unit that obtains an image captured with an image sensor; and a defect information generating unit that generates defect information indicating a defect within the image having been obtained, based upon a value at a target pixel and an average value of a plurality of pixel values corresponding to pixels present within a predetermined range containing the target pixel.04-15-2010
20120163729SIGNAL PROCESSING APPARATUS, SIGNAL PROCESSING METHOD, AND SIGNAL PROCESSING PROGRAM - A signal processing apparatus includes: a first low-pass filter filtering a data signal; and a convolving section convolving low frequency components of the data signal obtained by the first low-pass filter with a compensation filter for compensating for signal degradation attributable to low frequency components of impulse response obtained by filtering the impulse response with a second low-pass filter.06-28-2012
20120177301METHOD AND APPARATUS FOR REMOVING IMAGE BLOCKING ARTIFACT BY USING TRANSFORMATION COEFFICIENT - A method and apparatus for removing an image blocking artifact by using a transformation coefficient are provided. The method includes: detecting a first blocking artifact which is in a flat region of the input image; removing the first blocking artifact using a number of low frequency coefficients from among transformation coefficients for each transformation block of a plurality of transformation blocks of the input image, based on a result of detecting the first blocking artifact; detecting an edge region of the input image; and removing a second blocking artifact, which is in an edge region of an intermediate image obtained from the removing of the first blocking artifact of the input image, based on the detected edge region in the input image.07-12-2012
20120224785IMAGE PROCESSING APPARATUS AND CONTROL METHOD THEREOF - This invention makes it possible to obtain an enlarged image while suppressing noise and maintaining the sharpness of an original image only by setting a simple enlargement ratio without no special knowledge. Original image data (Ia) is enlarged in accordance with a set enlargement ratio (E) to generate an enlarged image (IA). The enlarged image (IA) is smoothed by using a smoothing filter with a size depending on the enlargement ratio (E) to generate smoothed image data (IB). Difference image data (IC) is generated by calculating the difference between the enlarged image data (IA) and the smoothed image data (IB). The generated difference image data is multiplied by an emphasis coefficient. The product is added to the enlarged image data, thereby obtaining image data (IS) that has undergone enlargement/unsharp masking.09-06-2012
20120314970IMAGE PROCESSING DEVICE, PROCESSING METHOD THEREOF, AND IMAGE PROCESSING SYSTEM HAVING THE SAME - An image processing device is provided. The image processing device includes a weighted low-pass filter which performs weighted low-pass filtering on illumination of sub-sampled pixel signals, and an illumination interpolation circuit which compares illumination of the weighted low-pass filtered pixel signals with illumination of current pixel signals and performs interpolation while applying a weight to illumination of the weighted low-pass filtered pixel signals according to the comparison result.12-13-2012
20090060373METHODS AND COMPUTER READABLE MEDIUM FOR DISPLAYING A RESTORED IMAGE - Methods and computer program readable medium for restoring an image. The methods include the steps of selecting one or more frames followed by determining the regions of interest so that blurring effect is determined in the regions of interest using various techniques. The regions of interest are then deblurred and one of the deblurred regions of interest is then blended with the frame resulting in a restored frame.03-05-2009
20090060372OBJECT REMOVAL FROM IMAGES - Using identification of their sizes and positions, objects may be attenuated or removed from images. This may involve the use of various filtering operations and may further include coordinate transformations prior to and/or after the filtering. The filtered objects may then be subtracted from the image.03-05-2009
20120224786HIERARCHICALLY LAYERED ADAPTIVE MEDIAN MOTION VECTOR GENERATION AND SMOOTHING - Methods and systems for hierarchically layered adaptive median motion vector smoothing are disclosed. Aspects of one method may include generating motion vectors (MVs) for video pictures at each level of a hierarchical motion estimation process, where each level may use different resolution video pictures. The MVs may be smooth filtered at each level to reduce or remove spurious MVs. The smooth filtering may comprise scalar median filtering and/or vector median filtering. The smooth filtering may receive as inputs a plurality of MVs, for example, the MV being filtered and eight MVs from the surrounding video blocks. The vector costs of the nine MVs may be compared to a threshold vector cost, and those MVs with costs above the threshold value may be discarded. The threshold value may be dynamically changed based on, for example, content of the video pictures and/or to adjust a window size of the smoothing filter.09-06-2012
20120263393Method to Determine A Pixon Map in Interactive Image Reconstruction and Spectral Analysis - A method for iterative reconstruction of an object containing noise using the pixon method determines the pixon map from a variable that is used to update the object in the iteration. The updating variable is based on an optimized merit function, and smoothes the updating variable during each iteration. The updating variable depends on the reconstruction method, but is typically a gradient of a merit function or a multiplicative update factor. The updated object can optionally also be further smoothed at the end of the iteration, using the pixon map determined during the iteration.10-18-2012
20080298711Enhancing the quality of decoded quantized images - A system for image enhancement and, more particularly, a system for enhancing the quality of a quantized image.12-04-2008
20080298709Apparatus and method for reducing image noise with filter matrix and computer readable medium stored thereon computer executable instructions for performing the method - An apparatus for reducing image noise with filter matrix comprises a first input unit for receiving input of an object image data for conversion; a second input unit for receiving input of a size data of a convention area; a first output unit for setting conversion unit matrixes movable in the conversion area in a predetermined direction relative to a standard matrix; a second output unit for outputting average values of image information of pixels corresponding to the conversion unit matrixes set by first output unit and outputting an average value of image information of pixels corresponding to the standard matrix; an arrangement unit for calculating difference values between the average value of the standard matrix and the average values of the conversion unit matrixes and arranging calculation (difference) values according to size; and a conversion unit for low-pass filtering the conversion unit matrixes having calculation values smaller than a predetermined ordinal number among the arranged calculation values.12-04-2008
20110235938Method and Device for Adaptively Removing Noise from an Image - An image processing method for adaptively removing noise from an image is disclosed. The image processing method includes computing a plurality of gradients for one of a plurality of pixels of the image, determining an edge level and an edge direction of the pixel according to the plurality of gradients, selecting a plurality of nearby pixels from the plurality of pixels according to the edge level and the edge direction, computing a plurality of likelihoods between the pixel and the plurality of nearby pixels, generating a plurality of weights according to the plurality of likelihoods, and applying weighted low-pass filtering to the plurality of nearby pixels and the pixel according to the plurality of weights to generate an output pixel.09-29-2011
20100232724IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD - An image processing method includes the following steps. First, noise of a first image is filtered, and the first image is converted to obtain a first luminance signal. Second, a color space converting process is performed upon the first image to obtain a second image. Third, the second image is stored and outputted. Fourth, noise of the second image is filtered, and the second image is converted to obtain a second luminance signal. Fifth, a linear computing is performed to obtain a third image. Sixth, an error compensation is performed upon the third image and the second image, and the third image is outputted. Seventh, the color space converting process is performed to obtain and output a fourth image. The linear computing and the error compensation are performed upon a single image to filter the noise of the images, and thus a load of a system may be decreased.09-16-2010
20120328210METHOD AND SYSTEM FOR GENERATING AN OUTPUT IMAGE OF INCREASED PIXEL RESOLUTION FROM AN INPUT IMAGE - A method and system (12-27-2012
20100202712IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus holds a plurality of intermediate smoothed images smoothed at a plurality of preset level values, reduces the N-th frame image of a moving image received from the outside to generate a reduced image, performs a smoothing process on the generated reduced image at the plurality of preset level values to generate a plurality of intermediate smoothed images, stores the generated intermediate smoothed images in an intermediate smoothed image storing unit, acquires, when generating the smoothed images of the frames after the (N+1)-th frame, one or a plurality of intermediate smoothed images from the plurality of intermediate smoothed images of the N-th frame stored in the intermediate smoothed image storing unit, synthesizes the acquired intermediate smoothed images of the N-th frame and the frames after the (N+1)-th frame of the moving image received from the outside, and generates smoothed images.08-12-2010
20110158550INFORMATION PROCESSING APPARATUS, PROCESSING METHOD, AND COMPUTER-READABLE STORAGE MEDIUM - An information processing apparatus comprises: a spatial filtering unit configured to perform spatial filtering in a frequency range based on a spatial frequency of an object for image data of a current frame; and a recursive filtering unit configured to perform recursive filtering by obtaining image data, which has been processed prior to the current frame, from a memory, multiplying the obtained image data by a coefficient α (α<1), adding the image data multiplied by the coefficient α to the image data of the current frame after the spatial filtering, and storing the image data after the addition in the memory.06-30-2011
20080247662Image Processing Device - An image processing device includes: a first smoothing unit calculating, regarding multiple positions along a first direction in a neighbor region of a predetermined pixel of interest in an input image, a first-stage smoothing value wherein pixel values have been smoothed along a second direction differing from the first, for a first channel; a second smoothing unit calculating, regarding multiple positions along the first direction in the neighbor region, a first-stage smoothing value wherein pixel values have been smoothed along the second direction, for a second channel; an intensity estimating unit estimating the intensity of the first-stage smoothing value of the second channel, based on the first-stage smoothing values of the first and second channels; and a third smoothing unit calculating a second-stage smoothing value for the second channel, the first-stage smoothing value of the second channel intensity-estimated by the intensity estimating unit having been smoothed along the first direction.10-09-2008
20080226191PICTURE PROCESSING APPARATUS AND METHOD - A smoothing filter generates a smoothed picture by smoothing a brightness component of an input picture. An adjustment filter generates an adjusted picture by applying a filter to an area of the input picture. The filter has the same characteristic as the smoothing filter. The area has a brightness matched with a predetermined condition of noise detection. A contrast component calculation unit calculates a contrast component of the input picture by dividing each pixel value of the adjusted picture with a corresponding pixel value of the smoothed picture. An output picture generation unit generates an output picture by multiplying the smoothed picture with the contrast component.09-18-2008
20110274368IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing device includes: an upsampling section; a motion compensated image generating section; a blend processing section; and an output image generating section.11-10-2011
20080219584Image enhancer for detecting and identifying objects in turbid media - An image enhancer that includes a laser for emitting an optical signal toward an object in a turbid medium, a modulator for modulating laser intensity of the laser, an RF source for driving the modulator and for providing a reference signal, an optical detector for detecting the modulated optical signal that is reflected from the object, the optical detector converting the reflected optical signal into an electrical signal, the electrical signal having RF and DC components, an I/Q demodulator for mixing the RF component of the electrical signal with the reference signal and producing in-phase and quadrature phase signal components that can be digitized and processed such that both contrast and range images of the object are produced.09-11-2008
20130129247SYSTEM AND METHOD FOR ENHANCING THE LEGIBILITY OF DEGRADED IMAGES - Disclosed are embodiments for a system, method, and computer program product for performing an process on an original image, the process being implemented by a computer system performs a comprising the at least one computer: performing an process on an image that renders the processed image legible than then the original image, wherein the analysis segregates dark pixels of the image from light pixels of the image. The method can comprise: first converting the image into a grayscale image. The method comprises processing a pixel area for each pixel of the image is a dark pixel or a light pixel and determining if a pixel is proximate to an edge.05-23-2013
20130129248Method and Device for Obtaining an Image of a Crumpled Document From an Image of Said Document When Same is Crumpled - The present invention relates to a method and device for obtaining an image of a crumpled document from an image of this document when it is crumpled. The method comprises a step of determining a three-dimensional geometric model of the surface of the crumpled document by triangulation of three-dimensional points defined from the pattern of a target extracted from the image of this document when it is crumpled; the method is characterised in that it comprises a step of determining a projection of the three-dimensional geometric model onto a so-called acquisition plane, by means of error minimisation of this projection under constraints of preserving defined geometric characteristics in the vicinity of the three-dimensional points, and in that it comprises a step of superimposing the textures associated with the three-dimensional model onto the projection of this model thus determined. The present invention likewise relates to target patterns that make it possible to improve the quality of the image resulting from the method to be improved and/or to reduce the cost for computing said image.05-23-2013
20130142449IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes a reducing unit that reduces an input image chronologically input as moving images and accumulates a reduced image of the input image as a first reduced image in a predetermined memory. The image processing apparatus further includes a generating unit that generates, as a second reduced image, one reduced image from multiple first reduced images accumulated in the memory. The image processing apparatus further includes a smoothing unit that smooths level values of a pixel included in the second reduced image and pixels surrounding the pixel with respect to each of multiple ranges set according to the width of level values of pixels. The image processing apparatus further includes a synthesizing unit that synthesizes multiple range-by-range results of the smoothing on the basis of the input images. The image processing apparatus further includes an output unit that outputs a synthesized image as an output image.06-06-2013
20110211766IMAGE PROCESSING APPARATUS AND METHOD AND IMAGE DISPLAY APPARATUS - There are provided a first intermediate image generating means (09-01-2011
20110249909FILTER AND FILTERING METHOD FOR REDUCING IMAGE NOISE - A filter for reducing image noise including a sum of absolute difference (SAD) unit and a weighting unit is provided. The SAD unit receives pixels of a target window and receives multiple pixels of multiple peripheral windows, which are neighboring to a target pixel of the target window. Each of the peripheral windows has a peripheral pixel neighboring to the target pixel. The SAD unit calculates absolute differences for each of the pixels corresponding to the target window and the peripheral window. The absolute differences are calculated by a difference calculation to obtain a difference analyzed value. The weighting unit receives each of the difference analyzed values and assigns multiple weights respectively to the peripheral pixels according to a data table.10-13-2011
20130156337METHOD FOR REMOVING NOISE OF IMAGE - A method for removing noise of an image. The method includes: (a) detecting a horizontal edge by applying a horizontal edge detection filter to a predetermined pixel field including a notice pixel and neighboring pixel in a vertical direction in image data; (b) judging whether horizontal line noise exists in the predetermined pixel field through the horizontal edge; (c) calculating the number of pixels determined as the horizontal line noise for each horizontal line of the image data by applying steps (a) and (b) to all horizontal lines of the image data; and (d) removing the horizontal line noise by applying a low pass filter to the horizontal line judged to have the horizontal line noise according to the calculation result of step (c).06-20-2013
20130156338IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing apparatus including: an error determination processing unit inputting a distance image having distance information or parallax information up to the subject, detecting an error signal included in the distance image, and outputting a synthesis coefficient according to an error degree of an image region unit; a low pass filter processing unit applying a low pass filter with respect to the distance image and generating a noise reduction distance image; and a distance image synthesis unit generating a corrected distance image using a synthesis process of the distance image and the noise reduction distance image, in which, the distance image synthesis unit follows a synthesis coefficient of an image region unit output by the error determination processing unit, performs synthesis processing in which the synthesis ratio of the distance image and the noise reduction image is set in the image region units, and generates the corrected distance image.06-20-2013
20130182968METHOD AND SYSTEM FOR APPLYING FILTER TO IMAGE - A computer-implemented method for applying a filter to an image comprising: receiving a filter setting, selecting a selected filter from a family of filters stored on a computer-readable storage medium, based at least on the filter setting, wherein the family of filters comprises a plurality of filters each being an approximation of a function on different orders, and applying the selected filter to a stored image with a processor.07-18-2013
20090185755APPARATUS AND METHOD FOR REMOVING MOIRE PATTERN OF DIGITAL IMAGING DEVICE - An apparatus for and a method of removing a moire pattern of a digital imaging device are provided. It is determined whether or not a moire pattern is created based on an image frequency of a preview image and a spatial frequency of an image sensor, and when it is determined that a moire pattern is generated, an optical path of light incident to an image sensor is slightly changed to remove the moire pattern. Accordingly, image quality deterioration can be improved, and a problem of unnecessary filtering that causes deterioration of resolution even when there is no moire pattern can be enhanced.07-23-2009
20130202220IMAGE PROCESS DEVICE, IMAGE PROCESS METHOD, AND IMAGE PROCESS PROGRAM - A mask correcting unit corrects an externally set mask pattern. A depth map processing unit processes a depth map of an input image for each of a plurality of regions designated by a plurality of mask patterns corrected by the mask correcting unit. An image generation unit generates an image of a different viewpoint on the basis of the input image and depth maps processed by the depth map processing unit. The mask correcting unit performs a blurring process on an object boundary part of the mask pattern.08-08-2013

Patent applications in class Lowpass filter (i.e., for blurring or smoothing)