| Patent application number | Description | Published |
|---|
| 20080247643 | Image processing method, image processing program and image processor - An image processing method for converting a first image, which is expressed in a calorimetric system made up of a plurality of color components and is constituted of a plurality of pixels each holding color information corresponding to a single color component, to a second image constituted with a plurality of pixels all holding color information corresponding to at least one common color component, includes: a color difference information generation step in which color difference information is generated by using color information in the first image; a color gradient analysis step in which a color gradient indicating an extent of color change is determined based upon the color difference information having been generated; and an image conversion step in which the first image is converted to the second image based upon the color gradient having been determined. | 10-09-2008 |
| 20090040386 | Image processing method - An image processing method adopted to remove noise present in an image, includes: an image input step in which an original image constituted of a plurality of pixels is input; a multiple resolution image generation step in which a plurality of low-frequency images with resolutions decreasing in sequence and a plurality of high-frequency images with the resolutions decreasing in sequence are generated by decomposing the input original image; a noise removal processing step in which noise removal processing is individually executed on the low-frequency images and the high-frequency images; and an image acquisition step in which a noise-free image of the original image is obtained based upon both the low-frequency images and the high-frequency images having undergone the noise removal processing. | 02-12-2009 |
| 20090046943 | Image processing method - An image processing method adopted to remove noise present in an image, includes: an image input step in which an original image constituted of a plurality of pixels is input; a multiple-resolution images generation step in which a plurality of band-limited images with resolutions decreasing in sequence are generated by filtering the input original image; a first noise removal step in which virtual noise removal processing is executed individually for each of the band-limited images; a second noise removal step in which actual noise removal processing is executed for the individual band-limited images based upon the band-limited images from which noise has been virtually removed through the first noise removal step; and an image acquisition step in which a noise-free image of the original image is obtained based upon the individual band-limited images from which noise has been actually removed through the second noise removal step, and the virtual noise removal processing executed in the first noise removal step and the actual noise removal processing executed in the second noise removal step are differentiated in correspondence to a frequency band of a band-limited image. | 02-19-2009 |
| 20090074324 | Image Processing Device And Image Processing Method - An image processing device that converts a first image captured via an optical system in which at least one of a plurality of color components is missing in one pixel and MTF characteristics are different between a reference color component and at least one missing color component at an imaging plane, into a second image in which MTF characteristics are matched, includes: an image creation unit that acquires information concerning differences in MTF characteristics between the missing color component and the reference color component in a pixel having the missing color component of the first image and creates the second image by using the acquired information. | 03-19-2009 |
| 20090135267 | Image Processing Apparatus and Image Processing Method - An image processing apparatus includes a discriminating unit that discriminates a color component originating in an image structure in an image captured through an optical system from a color component attributable to a chromatic aberration of the optical system, and a correction unit that corrects the color component attributable to the chromatic aberration of the optical system based upon discrimination results provided by the discriminating unit. | 05-28-2009 |
| 20090207271 | Image Processor Correcting Color Misregistration, Image Processing Program, Image Processing Method, and Electronic Camera - An image processor captures image data which include at least correction object color components and reference color components and has one kind of color component per pixel. The image processor acquires or detects information about positional shifts of the correction object color components and corrects positional shifts of correction object color components. In this correction, image structures lost from correction object color components are compensated for by image structures extracted from reference color components. | 08-20-2009 |
| 20090290067 | Image processing method - 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. | 11-26-2009 |
| 20090290808 | Image Processing Method - An image processing method for removing a noise component contained in an original image includes: smoothing a noise component contained in an original image on a temporary basis by using a noise fluctuation index value; extracting a temporary noise component free of a non-noise component based upon a differential signal representing a difference between the original image and a smoothed image; extracting an actual noise component by further excluding a component less likely to be a noise component from the extracted temporary noise component by comparing the extracted temporary noise component with the noise fluctuation index value again; and removing noise from the original image based upon the extracted actual noise component having been extracted. | 11-26-2009 |
| 20090316002 | Image-capturing system diagnostic device, image-capturing system diagnostic program product and image-capturing device for monitoring foreign matter - An image-capturing system diagnostic device includes: an image acquisition unit that obtains an image; and a monitoring unit that monitors a quantity of foreign matter present in an optical path by generating defect information indicating a defect at pixels caused by the foreign matter in the optical path based upon the image obtained by the image acquisition unit and calculating an areal ratio of defective pixels in the image based upon the defect information having been generated and issues a warning for a photographer if the areal ratio of the defective pixels exceeds a predetermined value. | 12-24-2009 |
| 20100008574 | Image processing method - An image processing method for removing a noise component contained in an original image includes: extracting a noise component contained in an original image in a work color space; creating a noise-free image in the work color space based upon the extracted noise component and a difference between gradation characteristics in the work color space and gradation characteristics in an output color space; converting the noise-free image in the work color space to an image in the output color space. | 01-14-2010 |
| 20100066874 | Image processing method - An image processing method for executing edge enhancement for an original image includes: extracting edge components based upon the original image; correcting the extracted edge components by attenuating the individual edge components so that a frequency distribution related to intensity of the edge components approximates a Gaussian distribution assuming a specific width; and executing edge enhancement for the original image based upon the corrected edge components. | 03-18-2010 |
| 20100074523 | Image classification apparatus - An image classification apparatus that classifies images based upon image data includes: a multiresolution representation unit that sequentially generates high-frequency band images assuming a plurality of resolution levels by filtering an original image; an image synthesis unit that synthesizes a single high-frequency band image by sequentially integrating the high-frequency band images starting with a high-frequency band image at the lowest resolution; a histogram generation unit that generates a histogram of synthesized high-frequency band image signal; and an image classification unit that classifies the original image into one of at least two image categories based upon a distribution pattern of the histogram having been generated. | 03-25-2010 |
| 20100092103 | IMAGE 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 |
| 20100201853 | DIGITAL CAMERA AND DIGITAL CAMERA SYSTEM - A digital camera includes: a lens unit that forms a subject image on an imaging plane; an image sensor that includes color filters each disposed at one of pixels disposed in a lattice-like pattern over pixel intervals (a, b) along two directions, an x direction and a y direction, extending perpendicular to each other, with color filters corresponding to a first color component among first through nth (n≧2) color components, disposed in a checkered pattern at pixels amounting to at least half an entire color filter density and color filters corresponding to remaining color components disposed at other pixels, and outputs image signals expressing the subject image; and an optical low pass filter unit at which light having passed through the lens unit and yet to enter the image sensor undergoes light beam separation along two diagonal directions ((1/2)a, (1/2)b)×(√2/α) and ((1/2)a, −(1/2)b)×(√2/α) relative to (x, y) coordinate axes, so as to achieve frequency modulation for the subject image to become extinct at a band formed by connecting spatial frequencies (α/(2a), 0) and (0, α/(2b)) at positions calculated by multiplying, by a multiplier α, a Nyquist frequency 1/(2a) and a Nyquist frequency 1/(2b) at the image sensor assumed respectively along the x direction and the y direction. When the pixel intervals (a, b) assumed along the two directions at the image sensor are both within a 2.5˜5 μm/pixel range, a position of an extinction frequency band is set for the optical low pass filter by setting the multiplier α for the Nyquist frequencies at the image sensor within a range of 1.5≦α≦3.5. | 08-12-2010 |
| 20110069896 | IMAGE SORTING APPARATUS - An image sorting apparatus provided with an image inputting unit that inputs an image; a distribution function preparing unit that prepares a distribution function of pixel values of the image; a describing unit that performs series expansion on the distribution function by using base functions that form a complete set and are orthogonal to each other due to different weights in a distribution area and describing the distribution function by expansion coefficients, an evaluating unit that evaluates features of the shape of the distribution function based on the expansion coefficients, and a sorting unit that sorts the image to images of at least two categories based on results of the evaluation. | 03-24-2011 |
