Abstract: An image prediction method and apparatus is disclosed. The image prediction method includes: determining, according to information about adjacent image units adjacent to a to-be-processed image unit, whether a set of candidate prediction modes for the to-be-processed image unit includes an affine merge mode, where the affine merge mode indicates that respective predicted images of the to-be-processed image unit and the adjacent image units of the to-be-processed image unit are obtained by using a same affine model; parsing a bitstream to obtain first indication information; determining, in the set of candidate prediction modes, a prediction mode for the to-be-processed image unit according to the first indication information; and determining a predicted image of the to-be-processed image unit according to the prediction mode. The method reduces a bit rate of encoding a prediction mode, thereby improving encoding efficiency.

Abstract: The present disclosure provides an encoding method, a decoding method, an encoding apparatus, a decoding apparatus, for a video image. The encoding method includes: determining an optimal integrated neighboring block for a current block based on a motion vector integration technology; determining, based a prediction direction of the optimal integrated neighboring 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.

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: The present invention relates to the field of video image processing, and provides a filtering method and an apparatus, to resolve a problem that subjective quality and objective quality of an image deteriorate because filtering processing cannot be performed on internal blocks of a non-translational motion prediction unit.

Abstract: Image encoding and decoding methods, apparatuses and computer-readable media are described. An example decoding method include: determining a first decoded unit from two decoded units on a left side of a to-be-decoded unit and a second decoded unit from three decoded units above the to-be-decoded unit; calculating first and second motion vector predictors (MVPs) of M control points of the to-be-decoded unit based on motion vectors of control points of the first and the second decoded units, respectively; generating a first and a second motion vector group based on the first and the second MVPs of the M control points, respectively; determining a target motion vector group from motion vector groups comprising the first motion vector group and the second motion vector group; and predicting the to-be-decoded unit based on the target motion vector group.

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 includes: determining motion vectors of W control points in a current picture block; obtaining motion vectors of P pixel units of the current picture block by using a motion model and the motion vectors of the W control points, where precision of the determined motion vectors of the W control points is 1/n of pixel precision, precision of the motion vector of each of the P pixel units is 1/N of the pixel precision, the motion vector of each of the P pixel units is used to determine a corresponding reference pixel unit in a reference picture of a corresponding pixel unit; and performing interpolation filtering on a pixel of the corresponding reference pixel unit by using an interpolation filter with a phase of Q, to obtain a predicted pixel value of each of the P pixel units.

Abstract: An image prediction method and apparatus is disclosed. The image prediction method includes: determining, according to information about adjacent image units adjacent to a to-be-processed image unit, whether a set of candidate prediction modes for the to-be-processed image unit includes an affine merge mode, where the affine merge mode indicates that respective predicted images of the to-be-processed image unit and the adjacent image units of the to-be-processed image unit are obtained by using a same affine model; parsing a bitstream to obtain first indication information; determining, in the set of candidate prediction modes, a prediction mode for the to-be-processed image unit according to the first indication information; and determining a predicted image of the to-be-processed image unit according to the prediction mode. The method reduces a bit rate of encoding a prediction mode, thereby improving encoding efficiency.

Abstract: Image encoding and decoding methods, apparatuses and computer-readable media are described. An example image encoding method includes: determining N encoded units from adjacent encoded units of a to-be-encoded unit according to a first preset rule, where a motion prediction mode of the N encoded units is the same as that of the to-be-encoded unit; generating an nth motion vector group by using a first preset algorithm and based on a motion vector of an nth encoded unit; determining, from obtained N motion vector groups according to a second preset rule, one motion vector group as an optimal motion vector group; determining a prediction sample value of each sample unit in the to-be-encoded unit by using a second preset algorithm and based on the optimal motion vector group; and encoding a prediction residual of each sample unit and an index identifier of the optimal motion vector group, to obtain a bitstream corresponding to the to-be-encoded unit.

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: The present invention relates to the field of video image processing, and provides a filtering method and an apparatus, to resolve a problem that subjective quality and objective quality of an image deteriorate because filtering processing cannot be performed on internal blocks of a non-translational motion prediction unit.

Abstract: An image prediction method and apparatus is disclosed. The image prediction method includes: determining, according to information about adjacent image units adjacent to a to-be-processed image unit, whether a set of candidate prediction modes for the to-be-processed image unit includes an affine merge mode, where the affine merge mode indicates that respective predicted images of the to-be-processed image unit and the adjacent image units of the to-be-processed image unit are obtained by using a same affine model; parsing a bitstream to obtain first indication information; determining, in the set of candidate prediction modes, a prediction mode for the to-be-processed image unit according to the first indication information; and determining a predicted image of the to-be-processed image unit according to the prediction mode. The method reduces a bit rate of encoding a prediction mode, thereby improving encoding efficiency.

Abstract: A picture prediction method includes: determining motion vectors of W control points in a current picture block; obtaining motion vectors of P pixel units of the current picture block by using a motion model and the motion vectors of the W control points, where precision of the determined motion vectors of the W control points is 1/n of pixel precision, precision of the motion vector of each of the P pixel units is 1/N of the pixel precision, the motion vector of each of the P pixel units is used to determine a corresponding reference pixel unit in a reference picture of a corresponding pixel unit; and performing interpolation filtering on a pixel of the corresponding reference pixel unit by using an interpolation filter with a phase of Q, to obtain a predicted pixel value of each of the P pixel units.

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: The present invention relates to the field of video image processing, and provides a filtering method and an apparatus, to resolve a problem that subjective quality and objective quality of an image deteriorate because filtering processing cannot be performed on internal blocks of a non-translational motion prediction unit.

Abstract: Embodiments of the present invention provide an encoding method, a decoding method, an encoding apparatus, a decoding apparatus, for a video image. The encoding method includes: determining an optimal integrated neighboring block for a current block based on a motion vector integration technology; determining, based a prediction direction of the optimal integrated neighboring 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.

Abstract: A picture prediction method includes: determining motion vectors of W control points in a current picture block; obtaining motion vectors of P pixel units of the current picture block by using a motion model and the motion vectors of the W control points, where precision of the determined motion vectors of the W control points is 1/n of pixel precision, precision of the motion vector of each of the P pixel units is 1/N of the pixel precision, the motion vector of each of the P pixel units is used to determine a corresponding reference pixel unit in a reference picture of a corresponding pixel unit; and performing interpolation filtering on a pixel of the corresponding reference pixel unit by using an interpolation filter with a phase of Q, to obtain a predicted pixel value of each of the P pixel units.

Abstract: Provided herein are an encoding method, a decoding method, an encoding apparatus, a decoding apparatus, for a video image. The encoding method includes: determining an optimal integrated neighboring block for a current block based on a motion vector integration technology; determining, based a prediction direction of the optimal integrated neighboring 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.

Abstract: Image encoding and decoding methods, apparatuses and computer-readable media are described. An example image encoding method includes: determining N encoded units from adjacent encoded units of a to-be-encoded unit according to a first preset rule, where a motion prediction mode of the N encoded units is the same as that of the to-be-encoded unit; generating an nth motion vector group by using a first preset algorithm and based on a motion vector of an nth encoded unit; determining, from obtained N motion vector groups according to a second preset rule, one motion vector group as an optimal motion vector group; determining a prediction sample value of each sample unit in the to-be-encoded unit by using a second preset algorithm and based on the optimal motion vector group; and encoding a prediction residual of each sample unit and an index identifier of the optimal motion vector group, to obtain a bitstream corresponding to the to-be-encoded unit.

Abstract: An image encoding method includes: determining N encoded units from adjacent encoded units of a to-be-encoded unit according to a first preset rule, where a motion prediction mode of the N encoded units is the same as that of the to-be-encoded unit, generating an nth motion vector group by using a first preset algorithm and based on a motion vector of an nth encoded unit; determining, from obtained N motion vector groups according to a second preset rule, one motion vector group as an optimal motion vector group; determining a prediction sample value of each sample unit in the to-be-encoded unit by using a second preset algorithm and based on the optimal motion vector group; and encoding a prediction residual of each sample unit and an index identifier of the optimal motion vector group, to obtain a bitstream corresponding to the to-be-encoded unit.