Abstract: The video encoder in accordance with the present invention divides input image signal into macro blocks, estimates motion vectors of each macro block and finally encodes the input image signal. The encoder determines the number of macro blocks adjacent to a current macro block. If the number of adjacent macro blocks is equal to or more than two, the encoder calculates a motion vector of the adjacent macro blocks and selects a macro block that has the largest motion vector. Then it defines a least search area that the current adaptive motion vector can have, and compares the least search area with the motion vector of the largest adjacent macro block, and finally determines the largest value as the search area of the adaptive motion vector. Next, the encoder compares the search area of the adaptive motion vector with the search area of the user-defined motion adaptive vector to thereby determine the least value as the search area of the final adaptive motion vector.

Abstract: In the method, a determination is made as to whether a first block including the pixel and an adjacent second block have non-zero transform coefficients. A filtering strength is selected based on results of the determination.

Abstract: In the method, a pixel in a block of an image is filtered according to a filtering methodology, where the filtering methodology includes determining a filtering strength. A filter strength of two is determined if the block has non-zero transform coefficients.

Abstract: In the method, a motion vector difference between a motion vector for a first block including the pixel and a motion vector for a second block adjacent to the first block is obtained. A filtering strength is selected based on the motion vector difference.

Abstract: In the method, a pixel in a first block of an image is filtered according to a filtering methodology, where the filtering methodology includes determining a filtering strength. A filtering strength of one is determined if a motion vector difference between a motion vector of the first block and a motion vector of an adjacent second block is greater than or equal to one.

Abstract: In one embodiment, a pixel in a block of the image is filtered according to a filtering methodology. The filtering methodology includes determining a filtering strength value. This determining step determines a first filter strength value if the block has non-zero transform coefficient information and determines a second filter strength value if a motion vector difference between a motion vector of the first block and a motion vector of an adjacent second block is greater than or equal to one. The first filter strength value is greater than the second filter strength value.

Abstract: The video encoder in accordance with the present invention divides input image signal into macro blocks, estimates motion vectors of each macro block and finally encodes the input image signal. The encoder determines the number of macro blocks adjacent to a current macro block. If the number of adjacent macro blocks is equal to or more than two, the encoder calculates a motion vector of the adjacent macro blocks and selects a macro block that has the largest motion vector. Then it defines a least search area that the current adaptive motion vector can have, and compares the least search area with the motion vector of the largest adjacent macro block, and finally determines the largest value as the search area of the adaptive motion vector. Next, the encoder compares the search area of the adaptive motion vector with the search area of the user-defined motion adaptive vector to thereby determine the least value as the search area of the final adaptive motion vector.

Abstract: In one embodiment, four horizontal successive pixels are first filtered by a decoder in a digital video appliance based on a determined horizontal filtering coefficient. Two pixels of the four horizontal successive pixels are in a first block and two pixels of the four horizontal successive pixels are in a second block. Then four vertical successive pixels are filtered by the decoder based on a determined vertical filtering coefficient. Two pixels of the four vertical successive pixels are in the first block and two pixels of the four vertical successive pixels are in a third block.

Abstract: One embodiment of the method includes obtaining a coded block pattern of first and second blocks. The coded block pattern is one of a plurality of coded block patterns, the plurality of coded block patterns includes an intra-coded block, and the second block is adjacent to the first block. Whether the first block has non-zero transform coefficient information is determined if the obtained coded block pattern of the first block is not the intra-coded block. A motion vector difference between a motion vector for the first block and a motion vector for the second block is obtained. A non-zero filter strength value is determined based on the obtained coded block pattern of the first and second block, the determination of whether the first block has non-zero transform coefficient information, and the obtained motion vector difference. The blocking phenomenon is removed according to the filter strength.

Abstract: Disclosed is a loop filtering method in a video coder enabling to provide an easy real-time processing by reducing a calculation quantity of a video coder in realizing a H.26L standard system and increase a video quality by removing a blocking and a ringing phenomenon of a compression moving picture in accordance with a coded block pattern, a quantization step size, and a motion vector size. The present invention includes the steps of determining a strength of a block to be processed in accordance with a coded pattern and a quantization step size of a first macro block(block1, block2) constituted by 4×4 block unit, carrying out a first loop filtering on the first macro block(block1, blockk2) in accordance with the determined strength, and carrying out a second loop filtering on a block located at a boundary region of a second macro block constituted by 16×16 block unit so as to remove a blocking existing at the boundary region of the second macro block.

Abstract: The present invention relates to a method for eliminating a blocking effect in a compressed video signal signal. The method of the invention includes: the encoding step of eliminating a blocking effect by compensating the motion of a signal compressed in block unit to be transmitted; the decoding step of restoring the motion compensated video signal to the original video signal by reducing the prediction residual between the motion compensated video signal and the original video signal and the blocking effect; and the post-filtering step of performing post-filtering in a blocking elimination filter in order to eliminate a blocking effect and ring effect remained in the compensated signal. The equation for obtaining the original pixel is made simple by eliminating the remaining blocking effect and ring effect using a loop/post filter.

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.

Abstract: The present invention relates to an image processing technique, and in particular to a method for restoring a compressed image by using a hybrid motion compensation discrete cosine transform (hybrid MC/DCT) mechanism, including: a step of defining a smoothing functional having a smoothing degree of an image and reliability for an original image by pixels having an identical property in image block units; and a step of computing a restored image by performing a gradient operation on the smoothing functional in regard to the original image, thereby preventing the blocking artifacts and the ringing effects in regard to the pixels having an identical property in image blocks.

Abstract: The present invention relates to a method for recovering a compressed image for an image processing technique and an apparatus therefor. In the present invention, a cost function is defined in consideration with a directional characteristic of the pixels which will be recovered and a plurality of pixels of the recovering pixels. In addition, a regularization parameter variable having a certain weight is obtained from the cost function, and the regularization parameter variable is approximated using the compressed pixel for thereby obtaining a recovering pixel. The regularization parameter variable has a weight of a reliability with respect to the original image and a weight of a smoothing degree of the original image. In the methods and apparatuses for recovering a compressed motion picture a cost function is defined in consideration with a directional characteristic of the pixels which will be recovered and a plurality of pixels of the recovering pixels.

Abstract: The present invention relates to an image processing technique, and in particular to a method for restoring a compressed image by using a hybrid motion compensation discrete cosine transform (hybrid MC/DCT) mechanism, including: a step of defining a smoothing functional having a smoothing degree of an image and reliability for an original image by pixels having an identical property in image block units; and a step of computing a restored image by performing a gradient operation on the smoothing functional in regard to the original image, thereby preventing the blocking artifacts and the ringing effects in regard to the pixels having an identical property in image blocks. In one embodiment, the method includes obtaining a pixel value in a current block and at least one adjacent pixel value. A type of the current block is one of an intra-coded type and inter-coded type. A smoothing value of the current block is determined based on the obtained pixel value in the current block and the adjacent pixel value.

Abstract: The present invention relates to an image processing technique, and in particular to a method for restoring a compressed image by using a hybrid motion compensation discrete cosine transform (hybrid MC/DCT) mechanism, including: a step of defining a smoothing functional having a smoothing degree of an image and reliability for an original image by pixels having an identical property in image block units; and a step of computing a restored image by performing a gradient operation on the smoothing functional in regard to the original image, thereby preventing the blocking artifacts and the ringing effects in regard to the pixels having an identical property in image blocks. In one embodiment, the method includes obtaining a pixel value in a current block and at least one adjacent pixel value, obtaining a difference value between the pixel value in the current block and the adjacent pixel value, and obtaining a smoothing value of the current image based on the difference value.

Abstract: The present invention relates to an image processing technique, and in particular to a method for restoring a compressed image by using a hybrid motion compensation discrete cosine transform (hybrid MC/DCT) mechanism, including: a step of defining a smoothing functional having a smoothing degree of an image and reliability for an original image by pixels having an identical property in image block units; and a step of computing a restored image by performing a gradient operation on the smoothing functional in regard to the original image, thereby preventing the blocking artifacts and the ringing effects in regard to the pixels having an identical property in image blocks.

Abstract: The present invention relates to an image processing technique, and in particular to a method for restoring a compressed image by using a hybrid motion compensation discrete cosine transform (hybrid MC/DCT) mechanism, including: a step of defining a smoothing functional having a smoothing degree of an image and reliability for an original image by pixels having an identical property in image block units; and a step of computing a restored image by performing a gradient operation on the smoothing functional in regard to the original image, thereby preventing the blocking artifacts and the ringing effects in regard to the pixels having an identical property in image blocks. In one embodiment, the method includes obtaining a pixel value in a current block and at least one adjacent pixel value, obtaining a difference value between the pixel value in the current block and the adjacent pixel value, and obtaining a smoothing value of the current image based on the difference value.

Abstract: The present invention relates to an image processing technique, and in particular to a method for restoring a compressed image by using a hybrid motion compensation discrete cosine transform (hybrid MC/DCT) mechanism, including: a step of defining a smoothing functional having a smoothing degree of an image and reliability for an original image by pixels having an identical property in image block units; and a step of computing a restored image by performing a gradient operation on the smoothing functional in regard to the original image, thereby preventing the blocking artifacts and the ringing effects in regard to the pixels having an identical property in image blocks. In one embodiment, the method includes obtaining a pixel value in a current block and at least one adjacent pixel value according to a smoothing direction, and obtaining a smoothing value of the current image based on the obtained pixel value in the current block and the adjacent pixel value according to the smoothing direction.

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.