| Patent application number | Description | Published |
|---|
| 20090067737 | CODING APPARATUS, CODING METHOD, DECODING APPARATUS, DECODING METHOD, AND PROGRAM - A coding apparatus includes a blocking unit configured to divide an image into blocks, a reference value acquiring unit configured to acquire two reference values not smaller and not greater than a pixel value of a focused pixel, a reference value difference calculation unit configured to calculate a reference value difference, a pixel value difference calculation unit configured to calculate a pixel value difference between the value of the focused pixel and the reference value, a quantization unit configured to quantize the pixel value difference based on the reference value difference, an operation parameter calculation unit configured to determine an operation parameter that is used in a predetermined operation and minimizes a difference between the pixel value of the focused pixel and the reference value, and an output unit configured to output a quantization result and the operation parameter as a coded result of an image. | 03-12-2009 |
| 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 |
| 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 |
