Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on a result from the comparing step. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block.

Abstract: An image processing system and method is provided. The image processing system includes extracting a first local statistical characteristics from an observed image, generating a low-pass filter according to the first local statistical characteristics to generate a predicted noise image, and extracting second local statistical characteristics from the predicted noise image, extracting a third local statistical characteristics from a predicted original image using the first local statistical characteristics of the observed image and the second local statistical characteristics of the predicted noise image, and setting a flag level indicating a noise level for each pixel of the observed image according to the third local statistical characteristics of the predicted original image to detect noise, and setting a filter coefficient according to the flag level of the detected noise to remove the noise, and restoring the observed image.

Abstract: An apparatus and a method for setting a search region for the predicting of a motion vector are disclosed. The apparatus for setting a search region for predicting a motion vector includes: a computation unit configured to compute differences between an origin vector of a search region for a target block for motion vector prediction and predictive motion vectors of multiple blocks adjacent to the target block, and compute a sum of absolute values of the differences; and a search region setting unit configured to set a range value of the search region for the target block by using at least one of the sum of absolute values of the differences and a directionality of the predictive motion vectors for the multiple adjacent blocks. According to an embodiment of the present invention, the amount of computation and the time expended for computation when predicting motion vectors can be significantly reduced.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on a result from the comparing step. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on a result from the comparing step. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, obtaining block type information for the first and second block, and performing a filtering process based on a result from the comparing step when both of the first block and the second block are intra-coded blocks according to the block type information.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and a second block. The second block is adjacent to the first block. The quantization information is compared with a predefined constant value, and block type information for the first and second block is obtained. The block type information indicates whether a block is an intra-coded block. A filtering process is performed based on the comparing step when both of the first block and the second block are intra-coded blocks according to the block type information. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on the comparing step when both of the first block and the second block are intra-coded blocks according to obtained block type information. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block. The at least two pixels in the first block and the at least two pixels in the second block are successive pixels across a block boundary between the first block and the second block.

Abstract: In one embodiment, the method includes obtaining a coded block pattern of first and second blocks. The coded block pattern may be one of a plurality of coded block patterns, the plurality of coded block patterns may include an intra-coded block, and the second block may be adjacent to the first block. Whether the first block and the second block have non-zero transform coefficient information is determined if the block type of the first block and the second block is not intra-coded block. A non-zero filter strength value is determined based on the obtained coded block pattern of the first and second block and the determination of whether the first block and second blocks have non-zero transform coefficient information, and the blocking phenomenon is removed according to the filter strength value.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on the comparing step when both of the first block and the second block are intra-coded blocks according to obtained block type information. The filtering process includes calculating a value of at least one pixel in the first block to obtain a filtered value based on pixel values of at least two pixels in the first block. At least two successive pixels on a block boundary between the first and second blocks are filtered.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on a result from the comparing step. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block. The at least two pixels in the first block and the at least two pixels in the second block are successive pixels across a block boundary between the first block and the second block.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on a result from the comparing step. The filtering process includes calculating a value of at least one pixel in the first block to obtain a filtered value based on pixel values of at least two pixels in the first block. The method further includes filtering at least two successive pixels on a block boundary between the first and second blocks.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on a result from the comparing step. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block. The at least two pixels in the first block and the at least two pixels in the second block are successive pixels across a block boundary between the first block and the second block.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, obtaining block type information for the first and second block, and performing a filtering process based on a result from the comparing step when both of the first block and the second block are intra-coded blocks according to the block type information.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on a result from the comparing step. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on the comparing step when both of the first block and the second block are intra-coded blocks according to obtained block type information. The filtering process includes calculating a value of at least one pixel in the first block based on pixel values of at least two pixels in the first block, and calculating a value of at least one pixel in the second block based on pixel values of at least two pixels in the second block. The at least two pixels in the first block and the at least two pixels in the second block are successive pixels across a block boundary between the first block and the second block.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and a second block. The second block is adjacent to the first block. The quantization information is compared with a predefined constant value, and block type information for the first and second block is obtained. The block type information indicates whether a block is an intra-coded block. A filtering process is performed based on the comparing step when both of the first block and the second block are intra-coded blocks according to the block type information.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on a result from the comparing step. The filtering process includes calculating a value of at least one pixel in the first block to obtain a filtered value based on pixel values of at least two pixels in the first block. The method further includes filtering at least two successive pixels on a block boundary between the first and second blocks.

Abstract: In one embodiment, the method includes obtaining quantization information related to at least one of a first block and an adjacent second block, comparing the quantization information with a predefined constant value, and performing a filtering process based on the comparing step when both of the first block and the second block are intra-coded blocks according to obtained block type information. The filtering process includes calculating a value of at least one pixel in the first block to obtain a filtered value based on pixel values of at least two pixels in the first block. At least two successive pixels on a block boundary between the first and second blocks are filtered.

Abstract: The present invention relates to an interpolation method for enlarging a digital image or predicting a moving vector of a compressed image system as a sub-pixel unit when the image digitized through a CCD (Charge Coupled Device) camera ect. has a low resolution in a video phone or video conference or general digital video system, particularly the present invention can be adapted to a post processor of a compressed digital image in order to improve the image quality, and can be used for finding a moving vector of a moving picture compressed type, accordingly the present invention is capable of improving the image quality.