Patent application number | Description | Published |
20080199072 | IMAGE PROCESSING DEVICE AND METHOD, LEARNING DEVICE AND METHOD, RECORDING MEDIUM, AND PROGRAM - With the present invention, data continuity is used at the time of converting an input image into high-quality image data with higher quality than the input image data, to obtain processing results which are more accurate and have higher precision. A class tap extracting unit ( | 08-21-2008 |
20080259169 | Image Processing Device, Image Processing Method, and Image Processing Program - A motion-vector-setting section ( | 10-23-2008 |
20090022420 | IMAGE PROCESSING DEVICE, METHOD, AND PROGRAM - The present invention enables processing results which are more accurate and which have higher precision as to events of the real world to be obtained. (An inverse gamma correction unit | 01-22-2009 |
20090161948 | COEFFICIENT LEARNING APPARATUS, COEFFICIENT LEARNING METHOD, IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD AND PROGRAMS - A coefficient learning apparatus includes: a student-image generation section configured to generate a student image from the teacher image; a class classification section configured to sequentially set each of pixels in the teacher image as a pixel of interest and generate a class for the pixel of interest from the values of a plurality of specific pixels; a weight computation section configured to add up feature quantities; and a processing-coefficient generation section configured to generate a prediction coefficient on the basis of a determinant including said deterioration equation and a weighted constraint condition equation. | 06-25-2009 |
20090161976 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM, AND LEARNING DEVICE - An image processing device for converting an input image into an output image whose blur is reduced more, the image processing device including: first image extracting section configured to extract a plurality of pixels composed of a pixel of the input image which pixel corresponds to a pixel of interest as a pixel to which to direct attention within the output image and predetermined pixels surrounding the pixel of the input image; first feature quantity calculating configured to calculate a first feature quantity from the plurality of pixels extracted by the first image extracting section; processing coefficient generating section; second pixel extracting section configured to extract a plurality of pixels composed of the pixel corresponding to the pixel of interest and predetermined pixels surrounding the pixel corresponding to the pixel of interest from the input image; and predicting section. | 06-25-2009 |
20090161977 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, PROGRAM AND LEARNING APPARATUS - An image processing apparatus includes: a blur removing processing section configured to carry out a blur removing process for an input image using a plurality of blur removal coefficients for removing blur of a plurality of different blur amounts to produce a plurality of different blur removal result images; a feature detection section configured to detect a feature from each of the different blur removal result images; a blur amount class determination section configured to determine blur amount classes representative of classes of the blur amounts from the features; and a prediction processing section configured to carry out mathematic operation of pixel values of predetermined pixels of the input image and prediction coefficients learned in advance and corresponding to the blur amount classes to produce an output image from which the blur is removed. | 06-25-2009 |
20090161984 | APPARATUS AND METHOD FOR IMAGE PROCESSING, AND PROGRAM FOR USE THEREIN, AND LEARNING APPARATUS - The present invention provides an image processing apparatus for converting a first image into a second image having higher image quality than that of the first image, includes: a first pixel value extracting section; an estimate noise amount arithmetically operating section; a processing coefficient generating section; a second pixel value extracting section; and a predicting section. | 06-25-2009 |
20090164398 | SIGNAL PROCESSING APPARATUS, SIGNAL PROCESSING METHOD, SIGNAL PROCESSING PROGRAM AND LEARNING APPARATUS - Disclosed herein is a signal processing apparatus for carrying out signal processing to convert input data into output data with a quality higher than the quality of the input data, the data processing apparatus including: a first data extraction section; a nonlinear feature quantity computation section; a processing-coefficient generation section; a second data extraction section; and a data prediction section. | 06-25-2009 |
20100073505 | COMMUNICATION SYSTEM AND METHOD THEREOF - The present invention makes it possible to process at high speed the foreground component image and the background component image of picked up images on a network platform. A client computer | 03-25-2010 |
20100080451 | IMAGE PROCESSING APPARATUS AND COEFFICIENT LEARNING APPARATUS - An image processing apparatus includes a storage unit in which regression coefficient data is stored for each class on the basis of a tap in which a linear feature amount corresponding to a pixel of interest of first image data and a non-linear feature amount determined from the image data are used as elements; a classification unit configured to classify each of linear feature amounts of a plurality of items of input data of the input first image into a predetermined class; a reading unit configured to read the regression coefficient data; and a data generation unit configured to generate data of a second image obtained by making the first image have higher quality by performing a product-sum computation process by using the regression coefficient data read from the reading unit and elements of the tap of each of the plurality of items of input data of the input first image. | 04-01-2010 |
20100080452 | COEFFICIENT LEARNING APPARATUS AND METHOD, IMAGE PROCESSING APPARATUS AND METHOD, PROGRAM, AND RECORDING MEDIUM - A coefficient learning apparatus includes a regression coefficient calculation unit configured to obtain a tap from an image of a first signal; a regression prediction value calculation unit configured to perform a regression prediction computation; a discrimination information assigning unit configured to assign discrimination information to the pixel of interest; a discrimination coefficient calculation unit configured to obtain a tap from the image of the first signal; a discrimination prediction value calculation unit configured to perform a discrimination prediction computation; and a classification unit configured to classify each of the pixels of the image of the first signal into one of the first discrimination class and the second discrimination class. The regression coefficient calculation unit further calculates the regression coefficient using only the pixels classified as the first discrimination class and further calculates the regression coefficient using only the pixel classified as the second discrimination class. | 04-01-2010 |
20110235934 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing apparatus includes a parameter input unit, a tap extraction unit, a predictive coefficient calculation unit, a predictive coefficient calculation unit, and a pixel value operation unit. The parameter input unit receives a parameter including an output phase, the size of an output pixel, and a variable used for a condensing model. The tap extraction unit extracts a tap including a pixel value of a focus pixel which corresponds to the output phase and pixel values of neighboring pixels of the focus pixel. The predictive coefficient calculation unit calculates a predictive coefficient to be multiplied by each of the elements of the tap. The pixel value operation unit calculates a value of the output pixel by performing a product-sum operation of the calculated predictive coefficient and each of the elements of the tap. | 09-29-2011 |
20110243462 | COEFFICIENT LEARNING APPARATUS AND METHOD, IMAGE PROCESSING APPARATUS AND METHOD, PROGRAM, AND RECORDING MEDIUM - A coefficient learning apparatus includes a regression coefficient calculation unit for calculating a regression coefficient, a regression prediction value calculation unit for calculating a regression prediction value, a discrimination information assigning unit for assigning discrimination information for discriminating whether a target pixel belongs to a first discrimination class or a second discrimination class, a discrimination coefficient calculation unit for calculating a discrimination coefficient, a discrimination prediction value calculation unit for calculating a discrimination prediction value, and a classification unit for classifying the pixels of the image of the first signal into any one of the first discrimination class and the second discrimination class based on the calculated discrimination prediction value. The regression coefficient calculation unit further calculates the regression coefficient using only the pixels classified into the first discrimination class and calculates the regression coefficient using only the pixels classified into the second discrimination class. | 10-06-2011 |
20120288187 | ADDITION RATIO LEARNING APPARATUS AND METHOD, IMAGE PROCESSING APPARATUS AND METHOD, PROGRAM, AND RECORDING MEDIUM - There is provided an addition ratio learning apparatus including a noise adding unit that adds noises to data of an image input as a teacher image, a motion compensating unit that sets an image where time addition noise reduction processing is executed as an NR screen and performs motion compensation with respect to the NR screen, a differential feature amount calculating unit that sets an image as an input screen and calculates a differential feature amount, a circulation history specifying unit that counts a circulation history in the time addition noise reduction processing and specifies the circulation history, an addition ratio computing unit that computes an addition ratio on the basis of pixel values, and a time adding unit that performs multiplication by a coefficient determined according to the computed addition ratio to perform weighted addition and executes the time addition noise reduction processing with respect to the input screen. | 11-15-2012 |
20120294512 | LEARNING APPARATUS AND METHOD, IMAGE PROCESSING APPARATUS AND METHOD, PROGRAM, AND RECORDING MEDIUM - There is provided an image processing apparatus including a model-based processing unit that executes model-based processing for converting resolution and converting an image on the basis of a camera model and a predetermined model having aligning, with respect to a high-resolution image output one frame before, and a prediction operation unit that performs a prediction operation on a pixel value of a high-resolution image to be output, on the basis of parameters stored in advance, an observed low-resolution image that is an input low-resolution image, and an image obtained by executing the model-based processing. | 11-22-2012 |
20120321214 | IMAGE PROCESSING APPARATUS AND METHOD, PROGRAM, AND RECORDING MEDIUM - Provided is an image processing apparatus including a sharpness improvement feature quantity calculation unit for calculating a sharpness improvement feature quantity of a pixel-of-interest, which is a feature quantity of sharpness improvement of a pixel-of-interest, according to a product-sum operation on pixel values of a plurality of peripheral pixels around a pixel of an input image corresponding to the pixel-of-interest, strengths of band limitation and noise addition, and filter coefficients corresponding to phases of the pixel-of-interest and the peripheral pixels, by designating a pixel of a prediction image as the pixel-of-interest when an image subjected to high image-quality processing is output as the prediction image, and a prediction calculation unit for calculating a prediction value of the pixel-of-interest by calculating a prediction expression defined by a product-sum operation on the sharpness improvement feature quantity and a prediction coefficient pre-obtained by learning. | 12-20-2012 |
20130016244 | IMAGE PROCESSING APARATUS AND METHOD, LEARNING APPARATUS AND METHOD, PROGRAM AND RECORDING MEDIUMAANM TAKAHASHI; NoriakiAACI TokyoAACO JPAAGP TAKAHASHI; Noriaki Tokyo JPAANM NAGANO; TakahiroAACI KanagawaAACO JPAAGP NAGANO; Takahiro Kanagawa JP - There is provided an image processing apparatus including a calculation part calculating a prediction value of a target pixel in an image captured by an image capturing part capturing images using an image sensor configured by regularly arranging a plurality of pixels having a plurality of exposure times based on values of a plurality of other pixels different from the target pixel in exposure time and prediction coefficients corresponding to the respective other pixels; and a motion amount identifying part identifying a motion amount of the target pixel per unit time based on the calculated prediction value of the target pixel and a value of the target pixel. | 01-17-2013 |
20130016920 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, PROGRAM AND RECORDING MEDIUMAANM Matsuda; YasuhiroAACI TokyoAACO JPAAGP Matsuda; Yasuhiro Tokyo JPAANM Nagano; TakahiroAACI KanagawaAACO JPAAGP Nagano; Takahiro Kanagawa JPAANM Uchida; MasashiAACI TokyoAACO JPAAGP Uchida; Masashi Tokyo JP - Provided is an image processing device including a model-based processing portion that generates an estimated low resolution image from a high resolution image, using an observation model that performs motion compensation processing and down-sampling processing, a feature amount calculation portion that calculates a feature amount of at least one of a spatial feature amount and a temporal feature amount from one of an observed low resolution image, which is a low resolution image that is actually observed, and the high resolution image, and a prediction operation portion that predicts and generates an image with higher image quality based on the high resolution image, using a parameter which corresponds to the calculated feature amount and which is obtained from the observed low resolution image, from the estimated low resolution image and from learning that is performed in advance. | 01-17-2013 |
20130195347 | IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD - An image processing apparatus includes a modifying unit configured to modify depth information representing depths in individual pixels of an image in accordance with content included in the image, thereby generating modified depth information, and an enhancing unit configured to perform a stereoscopic effect enhancement process of enhancing a stereoscopic effect of the image by using the modified depth information generated by the modifying unit. | 08-01-2013 |
20130300890 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processor includes a first acquirer that acquires a matching tap having a target pixel at the center, a second acquirer that acquires plural matching taps each having, at the center, one of pixels in a search area including the pixels surrounding the target pixel, a similarity identifier that identifies, among the matching taps acquired by the second acquirer, a similarity maximizing pixel representing a central pixel of the matching tap having the highest similarity to the matching tap acquired by the first acquirer, and a mixing controller that computes a pixel value of the target pixel by mixing a pixel value obtained by performing a predetermined arithmetic process on pixel values of a prediction tap having the target pixel at the center with a pixel value obtained by performing a predetermined arithmetic process on pixel values of a prediction tap having the similarity maximizing pixel at the center. | 11-14-2013 |
20130308025 | IMAGE PROCESSING DEVICE AND IMAGE PROCESSING METHOD, AND PROGRAM - There is provided an image processing device including a characteristic estimation portion that, from one of image information obtained from an image sensor and information attached to the image information, estimates a characteristic of the image sensor that is used to generate the image information, and a processing portion that processes the image information in accordance with the characteristic of the image sensor estimated by the characteristic estimation portion. | 11-21-2013 |
20130308854 | IMAGE PROCESSING DEVICE AND METHOD, LEARNING DEVICE AND METHOD, AND PROGRAM - There is provided an image processing device including a weight calculation unit that calculates a weight corresponding to each of a plurality of pixel values centering on a pixel of interest of an input image based on a feature amount calculated based on the plurality of pixel values centering on the pixel of interest, a regression coefficient reading unit that reads a regression coefficient stored for each class code determined based on a plurality of pixel values corresponding to the pixel of interest of the input image, and a pixel value calculation unit that calculates a pixel value of a pixel of interest of an output image by performing calculation using the plurality of pixel values, the weights, and the regression coefficients centering on the pixel of interest of the input image. | 11-21-2013 |