Abstract: The present invention provides an encoding and decoding method, apparatus and device. The method comprises: when a reference pixel of a current block is not available, removing a target prediction mode from an initial prediction mode list corresponding to the current block, so as to obtain a target prediction mode list; and encoding and decoding the current block on the basis of the target prediction mode list. The present invention can improve the encoding performance and the decoding performance.

Abstract: An image decoding method, includes: parsing a bitstream of a to-be-decoded block, and determining whether an image block corresponding to the to-be-decoded block is in a fallback mode in a case that the bitstream of the to-be-decoded block comprises a first codeword; determining a fixed code length of each component of the to-be-decoded block based on an exceeded code length of the bitstream buffer in a case that the image block corresponding to the to-be-decoded block is in the fallback mode and a stored code length of the bitstream buffer exceeds the set overflow line; and decoding the to-be-decoded block by parsing the pixels on each component of the to-be-decoded block in accordance with the fixed code length of the component, thereby avoiding overflowing of the bitstream.

Abstract: The present invention provides an encoding and decoding method, apparatus and device. The method comprises: when a reference pixel of a current block is not available, removing a target prediction mode from an initial prediction mode list corresponding to the current block, so as to obtain a target prediction mode list; and encoding and decoding the current block on the basis of the target prediction mode list. The present invention can improve the encoding performance and the decoding performance.

Abstract: A purpose of the present invention is to make it possible, when diagnosing bone marrow edema, to estimate whether bone marrow edema is present in a body part of a subject without using MRI testing using a high-cost MRI device. The present invention is an estimation device that includes a learner that is trained using X-ray images in which the body part is photographed, and learning data including information about whether the body part photographed in the X-ray image has bone marrow edema, the X-ray image in which the body part of the subject is photographed being inputted into the learner, and an estimation result being outputted that relates to the presence of bone marrow edema in the body part photographed in the inputted X-ray image.

Abstract: The present application discloses image coding and decoding methods and apparatuses, and a storage medium, relates to the field of image coding and decoding technologies, and helps to improve coding and decoding efficiency. An image decoding method includes: parsing a code stream to obtain a first syntax element, where the first syntax element includes an index of a target prediction mode of a to-be-decoded unit; determining the target prediction mode from an index table based on the index of the target prediction mode, where the index table includes correspondences between indexes of multiple prediction modes and the multiple prediction modes; reconstructing the to-be-decoded unit based on at least the target prediction mode to obtain a reconstructed block.

Abstract: The present application discloses image coding and decoding methods and apparatuses, and a storage medium, relates to the field of image coding and decoding technologies, and helps to improve coding and decoding efficiency. An image decoding method includes: parsing a code stream to obtain a first syntax element, where the first syntax element includes an index of a target prediction mode of a to-be-decoded unit; determining the target prediction mode from an index table based on the index of the target prediction mode, where the index table includes correspondences between indexes of multiple prediction modes and the multiple prediction modes; reconstructing the to-be-decoded unit based on at least the target prediction mode to obtain a reconstructed block.

Abstract: The embodiments of the present application provide a coefficient decoding method, an electronic device and a storage medium. The method includes: parsing a code stream to obtain coefficient group information of a unit to be decoded, where coefficients of the unit to be decoded are divided into one or more coefficient groups, each of the coefficient groups includes one or more coefficient codes, the coefficient codes in a same coefficient group are fixed-length codes with a same coding length, the coefficient groups include a first coefficient group, and the coefficient group information includes one or more boundary symbols of the first coefficient group; parsing one or more coefficient codes in the first coefficient group into one or more coefficient values; and determining whether the coefficient values in the first coefficient group are positive or negative according to the boundary symbols.

Abstract: The present application provides a video encoding/decoding method and apparatus. The method includes: obtaining, by a decoding end, a code stream of a unit to be decoded; determining a scanning manner and a grouping manner of the unit to be decoded, and an coding manner corresponding to each group; decoding according to the coding manner of each group to obtain one or more coefficient blocks corresponding to the unit to be decoded; and recovering one or more coefficients in each of the coefficient blocks in each group one by one according to the scanning manner of the unit to be decoded to obtain one or more reconstructed data blocks corresponding to the unit to be decoded.

Abstract: A filtering method and apparatus, and a device are provided. The filtering method includes: when it is determined to enable Wiener filtering for an adaptive leveling filter unit of a current picture, deriving the adaptive leveling filter unit from a current Largest Coding Unit (LCU) of the current picture; obtaining reference pixels of the adaptive leveling filter unit and filter coefficients of a Wiener filter; and according to the reference pixels and the filter coefficients of the Wiener filter, performing the Wiener filtering based on sample pixels of the adaptive leveling filter unit; where the Wiener filter is a centrosymmetric filter with a shape of a 7*7 cross plus a 5*5 square, and values of the reference pixels are derived from pixel values of a reconstructed picture before the Wiener filtering.

Abstract: Filtering methods, apparatus, and devices are provided. In one aspect, a filtering method includes: determining whether enhanced adaptive leveling filtering is enabled for a current adaptive leveling filtering unit; if it is determined that the enhanced adaptive leveling filtering is enabled for the current adaptive leveling filtering unit, performing adaptive leveling filtering on the current adaptive leveling filtering unit by using a first filter; if it is determined that the enhanced adaptive leveling filtering is disabled for the current adaptive leveling filtering unit, performing adaptive leveling filtering on the current adaptive leveling filtering unit by using a second filter. The first filter includes a centrosymmetric filter with a 7*7 cross shape plus a 5*5 square shape, and the second filter includes a centrosymmetric filter with a 7*7 cross shape plus a 3*3 square shape.

Abstract: The embodiments of the present application provide a coefficient decoding method, an electronic device and a storage medium.

Abstract: The embodiments of the present application provide a coefficient decoding method, an electronic device and a storage medium.

Abstract: The present application discloses image coding and decoding methods and apparatuses, and a storage medium, relates to the field of image coding and decoding technologies, and helps to improve coding and decoding efficiency. An image decoding method includes: parsing a code stream to obtain a first syntax element, where the first syntax element includes an index of a target prediction mode of a to-be-decoded unit; determining the target prediction mode from an index table based on the index of the target prediction mode, where the index table includes correspondences between indexes of multiple prediction modes and the multiple prediction modes; reconstructing the to-be-decoded unit based on at least the target prediction mode to obtain a reconstructed block.

Abstract: The present application provides a video encoding/decoding method and apparatus. The method includes: obtaining, by a decoding end, a code stream of a unit to be decoded; determining a scanning manner and a grouping manner of the unit to be decoded, and an coding manner corresponding to each group; decoding according to the coding manner of each group to obtain one or more coefficient blocks corresponding to the unit to be decoded; and recovering one or more coefficients in each of the coefficient blocks in each group one by one according to the scanning manner of the unit to be decoded to obtain one or more reconstructed data blocks corresponding to the unit to be decoded.

Abstract: Filtering methods, apparatus, and devices are provided. In one aspect, a filtering method includes: determining whether enhanced adaptive leveling filtering is enabled for a current adaptive leveling filtering unit; if it is determined that the enhanced adaptive leveling filtering is enabled for the current adaptive leveling filtering unit, performing adaptive leveling filtering on the current adaptive leveling filtering unit by using a first filter; if it is determined that the enhanced adaptive leveling filtering is disabled for the current adaptive leveling filtering unit, performing adaptive leveling filtering on the current adaptive leveling filtering unit by using a second filter. The first filter includes a centrosymmetric filter with a 7*7 cross shape plus a 5*5 square shape, and the second filter includes a centrosymmetric filter with a 7*7 cross shape plus a 3*3 square shape.

Abstract: A purpose of the present invention is to make it possible, when diagnosing bone marrow edema, to estimate whether bone marrow edema is present in a body part of a subject without using MRI testing using a high-cost MRI device. The present invention is an estimation device that includes a learner that is trained using X-ray images in which the body part is photographed, and learning data including information about whether the body part photographed in the X-ray image has bone marrow edema, the X-ray image in which the body part of the subject is photographed being inputted into the learner, and an estimation result being outputted that relates to the presence of bone marrow edema in the body part photographed in the inputted X-ray image.

Abstract: A filtering method and apparatus, and a device are provided. The filtering method includes: when it is determined to enable Wiener filtering for an adaptive leveling filter unit of a current picture, deriving the adaptive leveling filter unit from a current Largest Coding Unit (LCU) of the current picture; obtaining reference pixels of the adaptive leveling filter unit and filter coefficients of a Wiener filter; and according to the reference pixels and the filter coefficients of the Wiener filter, performing the Wiener filtering based on sample pixels of the adaptive leveling filter unit; where the Wiener filter is a centrosymmetric filter with a shape of a 7*7 cross plus a 5*5 square, and values of the reference pixels are derived from pixel values of a reconstructed picture before the Wiener filtering.