Abstract: The present invention relates to an image compression method and apparatus, where the image compression method includes a step of performing amplitude decreasing processing on a frequency domain coefficient or a quantization coefficient of a to-be-processed image. The image compression method includes: determining a texture direction of the to-be-processed image; and performing amplitude decreasing processing on the frequency domain coefficient or the quantization coefficient of the to-be-processed image according to the texture direction, where the frequency domain coefficient is a coefficient obtained after the image is transformed, and the quantization coefficient is a coefficient obtained after the frequency domain coefficient is quantized.

Abstract: An encoding method, a decoding method, an encoding apparatus, a decoding apparatus, for a video image. The encoding method includes: determining an optimal integrated candidate block for a current block based on a motion vector integration technology; determining, based a prediction direction of the optimal integrated candidate block, a motion vector derivation mode that needs to be used by a decoder; correcting a motion vector of the current block based on the motion vector derivation mode; and determining a residual between a predicted value and an original value of the current block based on the corrected motion vector, thereby encoding the current block. According to the technical solutions, a more accurate predicted value is obtained by correcting the motion vector, and a smaller residual is generated, thereby improving encoding efficiency, avoiding an increase in data bandwidth, improving decoding quality, and reducing calculation complexity.

Abstract: A picture prediction method and a related device are disclosed. The picture prediction method includes: determining two pixel samples in a current picture block, and determining a candidate motion information unit set corresponding to each of the two pixel samples; determining a merged motion information unit set i including two motion information units; and predicting a pixel value of the current picture block by using an affine motion model and the merged motion information unit set i. Technical solutions provided by embodiments of the present disclosure help reduce computational complexity of picture prediction performed based on the affine motion model.

Abstract: Embodiments of the present application relate to a video image encoding method, a video image decoding method, an encoding device, and a decoding device. The method includes: determining a motion vector group of a current encoding block; determining prediction values of a first component set of a motion model initialization vector; determining values of the first component set according to the prediction values of the first component set; and encoding the values of the first component set, and transmitting encoded values of the first component set. According to the video image encoding method in the embodiments of the present application, a motion model initialization vector is determined according to a motion vector group; values of a motion model are determined according to the motion model initialization vector. In this way, a volume of data and a quantity of occupied bits in encoding and decoding transmission can be reduced.

Abstract: A method, an apparatus and a system for a rapid motion search applied in template matching are disclosed. The method includes: selecting motion vectors of blocks related to a current block as candidate motion vectors of the current block; after the uniqueness of a series of the candidate motion vectors of the current block is maintained, calculating the cost function of the candidate motion vectors in a corresponding template area of a reference frame, and obtaining the motion vector of the best matching template from the candidate motion vectors of the current block. In the embodiments of the present invention, there is no need to determine a large search range and no need to determine the corresponding search path template, and it is only necessary to perform a search in a smaller range.

Abstract: A method, a system, and an apparatus for evaluating video quality are disclosed to improve accuracy of the evaluation. The method includes: obtaining information about a transmitted video; resolving the information about the transmitted video to obtain video frame parameters, where the video frame parameters include a compression distortion parameter and/or a video quality distortion parameter with packet loss; and calculating a video frame quality parameter according to the video frame parameters. An apparatus and a system for evaluating video quality are provided. The embodiments of the present invention improve accuracy of video quality evaluation without reference.

Abstract: A picture prediction method and a related apparatus are disclosed. A picture prediction method includes: determining K1 pixel samples in a picture block x, and determining a candidate motion information unit set corresponding to each pixel sample in the K1 pixel samples, where the candidate motion information unit set corresponding to each pixel sample includes at least one candidate motion information unit; determining a merged motion information unit set i including K1 motion information units, where each motion information unit in the merged motion information unit set i is selected from at least a part of motion information units in candidate motion information unit sets corresponding to different pixel samples in the K1 pixel samples; and predicting a pixel value of the picture block x by using a non-translational motion model and the merged motion information unit set i.

Abstract: A picture prediction method and a related apparatus are disclosed. The picture prediction method includes: determining motion vector predictors of K pixel samples in a current picture block, where K is an integer greater than 1, the K pixel samples include a first vertex angle pixel sample in the current picture block, a motion vector predictor of the first vertex angle pixel sample is obtained based on a motion vector of a preset first spatially adjacent picture block of the current picture block, and the first spatially adjacent picture block is spatially adjacent to the first vertex angle pixel sample; and performing, based on a non-translational motion model and the motion vector predictors of the K pixel samples, pixel value prediction on the current picture block. Solutions in the embodiments of the present application are helpful in reducing calculation complexity of picture prediction based on a non-translational motion model.

Abstract: The present disclosure provides a method and an apparatus for rounding a coordinate value of a non-integer pixel position motion vector. The method includes: rounding a coordinate value of a non-integer pixel position motion vector, which includes: for each dimension of coordinates of the non-integer pixel position motion vector, when a coordinate in the dimension is a non-integer pixel position, rounding the coordinate value of the non-integer pixel position motion vector in the dimension to one of integer pixel coordinate positions A and B if distances from the coordinate of the non-integer pixel position motion vector in the dimension to the integer pixel coordinate positions A and B adjacent to the non-integer pixel position in the dimension are the same, where an integer pixel coordinate position is determined by a sign of the coordinate value of the non-integer pixel position motion vector in the dimension.

Abstract: A method, an apparatus and a system for a rapid motion search applied in template matching are disclosed. The method includes: selecting motion vectors of blocks related to a current block as candidate motion vectors of the current block; after the uniqueness of a series of the candidate motion vectors of the current block is maintained, calculating the cost function of the candidate motion vectors in a corresponding template area of a reference frame, and obtaining the motion vector of the best matching template from the candidate motion vectors of the current block. In the embodiments of the present invention, there is no need to determine a large search range and no need to determine the corresponding search path template, and it is only necessary to perform a search in a smaller range.

Abstract: An image processing method includes acquiring N pieces of motion information from N adjacent image blocks adjacent to a current image block, where the N adjacent image blocks are in a one-to-one correspondence with the N pieces of motion information, and the N pieces of motion information are in a one-to-one correspondence with the N reference image blocks, determining candidate motion information from the N pieces of motion information according to a preset rule, determining, in the reference image, a location range of a to-be-stored pixel, and storing all pixels in the location range, where the location range covers all pixels of a candidate reference image block, and reading the pixels in the location range, and performing encoding processing on the current image block according to the pixels in the location range.

Abstract: The present invention relates to an image compression method and apparatus, where the image compression method includes a step of performing amplitude decreasing processing on a frequency domain coefficient or a quantization coefficient of a to-be-processed image. The image compression method includes: determining a texture direction of the to-be-processed image; and performing amplitude decreasing processing on the frequency domain coefficient or the quantization coefficient of the to-be-processed image according to the texture direction, where the frequency domain coefficient is a coefficient obtained after the image is transformed, and the quantization coefficient is a coefficient obtained after the frequency domain coefficient is quantized.

Abstract: A method is provided. The method includes: determining one or more first candidate reference blocks that correspond to a current block in a first reference frame according to known motion information related to the current block; determining one or more second candidate reference blocks in a second reference frame; calculating a sum of differences between pixels of each of the one or more first candidate reference blocks and pixels of a second candidate reference block that is of the one or more second candidate reference blocks and that corresponds to the first candidate reference block; selecting a first candidate reference block and a second candidate reference block with a minimum sum of differences as a first reference block and a second reference block of the current block; and obtaining motion information of the current block according to motion information determined by the first reference block and the second reference block.

Abstract: A method and device for generating a predicted value of image that are mostly used to generate a predicted value of a current block during image encoding or decoding. The method includes: determining a searching scope, wherein multiple motion vectors are included in the searching scope; performing up-sampling interpolations on first reference blocks, corresponding to the motion vector in the searching scope, in a reference image of the current block by using a first filter to obtain up-sampled first reference blocks; by using the up-sampled first reference blocks, obtaining at least one candidate motion vector corresponding to the current block; performing up-sampling interpolations on second reference blocks, corresponding to the at least one candidate motion vector, in the reference image of the current block by using a second filter to obtain up-sampled second reference blocks; combining the up-sampled second reference blocks to obtain a predicted value of the current block.

Abstract: A method, an apparatus and a system for a rapid motion search applied in template matching are disclosed. The method includes: selecting motion vectors of blocks related to a current block as candidate motion vectors of the current block; after the uniqueness of a series of the candidate motion vectors of the current block is maintained, calculating the cost function of the candidate motion vectors in a corresponding template area of a reference frame, and obtaining the motion vector of the best matching template from the candidate motion vectors of the current block. In the embodiments of the present invention, there is no need to determine a large search range and no need to determine the corresponding search path template, and it is only necessary to perform a search in a smaller range.

Abstract: A method and an apparatus for computing a parallax are provided. The method includes: obtaining a plurality of views of a pixel point; computing gradients in a plurality of directions of the pixel point in the plurality of view; computing a matching error corresponding to a parallax of the pixel point according to the gradients; and computing the parallax of the current pixel point according to the matching error. Through the method and the apparatus for computing a parallax, the accuracy of parallax estimation is increased.

Abstract: A method and device for generating a predicted value of image that are mostly used to generate a predicted value of a current block during image encoding or decoding. The method includes: determining a searching scope, wherein multiple motion vectors are included in the searching scope; performing up-sampling interpolations on first reference blocks, corresponding to the motion vector in the searching scope, in a reference image of the current block by using a first filter to obtain up-sampled first reference blocks; by using the up-sampled first reference blocks, obtaining at least one candidate motion vector corresponding to the current block; performing up-sampling interpolations on second reference blocks, corresponding to the at least one candidate motion vector, in the reference image of the current block by using a second filter to obtain up-sampled second reference blocks; combining the up-sampled second reference blocks to obtain a predicted value of the current block.

Abstract: Embodiments of the present invention provide a motion prediction or compensation method during a video coding and decoding process. A motion prediction or compensation method provided in the embodiments of the present invention includes: acquiring a candidate motion vector set; conducting a refined search for an optimal motion vector based on information of the candidate motion vector set; and performing motion prediction or compensation by using the motion vector acquired by the refined search. This improves coding performance and meanwhile maintains reasonable complexity.

Abstract: A method, an apparatus and a system for a rapid motion search applied in template matching are disclosed. The method includes: selecting motion vectors of blocks related to a current block as candidate motion vectors of the current block; after the uniqueness of a series of the candidate motion vectors of the current block is maintained, calculating the cost function of the candidate motion vectors in a corresponding template area of a reference frame, and obtaining the motion vector of the best matching template from the candidate motion vectors of the current block. In the embodiments of the present invention, there is no need to determine a large search range and no need to determine the corresponding search path template, and it is only necessary to perform a search in a smaller range.

Abstract: A method, an apparatus and a system for a rapid motion search applied in template matching are disclosed. The method includes: selecting motion vectors of blocks related to a current block as candidate motion vectors of the current block; after the uniqueness of a series of the candidate motion vectors of the current block is maintained, calculating the cost function of the candidate motion vectors in a corresponding template area of a reference frame, and obtaining the motion vector of the best matching template from the candidate motion vectors of the current block. In the embodiments of the present invention, there is no need to determine a large search range and no need to determine the corresponding search path template, and it is only necessary to perform a search in a smaller range.