Patent application number | Description | Published |
20090123083 | IMAGE PROCESSING APPARATUS AND METHOD, LEARNING APPARATUS AND METHOD, AND PROGRAM - An image processing method includes determining whether an image is corrupted, extracting class taps used for classification of a pixel to be generated, performing classification of the pixel to be generated by using the class taps, extracting prediction taps used for prediction of the pixel to be generated, and generating an image by predictively calculating a pixel value of the pixel to be generated by using the prediction taps and prediction coefficients for the class of the pixel among a first prediction coefficient set if the subject pixel is determined as a pixel representing a corrupted image, and by predictively calculating a pixel value of the pixel to be generated by using the prediction taps and prediction coefficients for the class of the pixel to be generated among a second prediction coefficient set if the subject pixel is determined as a pixel representing an uncorrupted image. | 05-14-2009 |
20090136146 | IMAGE PROCESSING DEVICE AND METHOD, PROGRAM, AND RECORDING MEDIUM - The present invention relates to an image processing device and method, a program, and a recording medium whereby the detection precision of a motion vector by the gradient method can be further improved. A counter value computing unit | 05-28-2009 |
20090167959 | IMAGE PROCESSING DEVICE AND METHOD, PROGRAM, AND RECORDING MEDIUM - The present invention relates to an image processing device and method, a program, and a recording medium whereby the evaluation regarding the reliability of a motion vector can be performed even in the case of an average brightness level between frames changing greatly. On a frame t+1, a block B | 07-02-2009 |
20090213937 | Image processing apparatus and method, program, and recording medium - A compensation allocation unit performs allocation compensation of a motion vector to a pixel to which a motion vector is not allocated by a victor allocation unit. A C/UC area determination unit compares magnitudes of a present DFD, a past DFD, and a future DFD based on a background vector and a DFD based on a compensation allocation vector by an evaluation value calculation unit to determine an area of a target pixel. Regarding the target pixel determined as the pixel in a covered area or an uncovered area, an interpolation method decision unit decides a computation method for a pixel value through which one of a double-sided interpolation and a one-sided interpolation. An interpolation frame generation unit computes the target pixel of the pixel value of the interpolation frame through the method decided by the interpolation method decision unit. | 08-27-2009 |
20100128171 | SIGNAL PROCESSING APPARATUS AND METHOD, PROGRAM, AND RECORDING MEDIUM - The present invention relates to a signal processing device and method, a program, and a recording medium configured so as to be able to detect 2-3 pulldown sequences, from various types of input, in a precise manner. A state estimation unit | 05-27-2010 |
20110249189 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing apparatus includes: a first layer summary data generation section; a second layer summary data generation section; a first search section; and a second search section. | 10-13-2011 |
20110252035 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing apparatus includes: a database configured to, out of images extracted with a first frequency from the images making up a moving image content, register first layer summary data of a first size; a distance calculation block configured to calculate the distance between the first layer summary data based on the distance between vectors of which the elements are formed by the first layer summary data registered in the database; and a classification section configured to cluster into the same class the first layer summary data between which the distance calculated by the distance calculation block falls within a predetermined distance, the classification section further clustering moving image contents into a plurality of classes based on the classes into which the first layer summary data have been clustered. | 10-13-2011 |