Image Decoding Using Direction-Adaptive Intra Prediction Mode Segmentation
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Solution Overview
Problem
Existing image encoding/decoding methods face challenges in improving image quality and compression efficiency, particularly due to the increased computational complexity and bit requirements for intra prediction modes.
Innovation Solution
A method and apparatus for image decoding that direction-adaptively determines the intra prediction mode of a current block based on the transform coefficients distribution information of neighboring blocks, using similarity flag information to finely segment intra prediction modes and improve prediction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of intra prediction modes is increased to improve prediction accuracy, then image quality is improved, but computational complexity and bit requirements increase
Solution Approach 1:
The patent segments the 35 intra prediction modes into multiple groups based on prediction direction characteristics. The decoder receives group information and selectively processes only relevant mode groups, reducing computational complexity while maintaining prediction accuracy. This segmentation allows the system to handle large numbers of modes without processing all of them equally.
Solution Approach 2:
The patent performs preliminary classification of intra prediction modes into groups before actual decoding. By pre-organizing modes into direction-based groups and transmitting group selection information, the system prepares the decoding process in advance, avoiding the need to evaluate all 35 modes during real-time decoding, thus reducing computational burden.
2Measurement precision
If the number of intra prediction modes is increased to improve prediction accuracy, then image quality is improved, but the amount of data for encoding increases
Solution Approach 1:
By segmenting modes into groups and transmitting only the selected group information rather than full mode information, the patent reduces the bit rate required for mode signaling. The segmentation enables compact representation of mode selection data.
Solution Approach 2:
The patent changes the parameter representation from individual mode indices (requiring more bits) to group selection indicators (requiring fewer bits). This parameter transformation reduces the data volume while preserving the ability to select from 35 modes through hierarchical group selection.
3Measurement precision
If transform coefficients distribution information is used to determine intra prediction mode, then prediction accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent applies different processing strategies to different regions by using transform coefficients distribution information from neighboring blocks. This local information is used to adaptively select prediction modes for the current block, making the processing complexity localized and manageable while improving prediction accuracy through context-aware selection.
Data Source
AI summary
The present invention relates to an image encoding/decoding method and apparatus. The image decoding method according to the present invention may comprise acquiring transform coefficients distribution information of a neighboring block from a bitstream; direction-adaptively determining an intra prediction mode of a current block to be decoded, according to the transform coefficients distribution information of the neighboring block; and reconstructing the current block, based on the determined intra prediction mode, wherein the direction-adaptively determining includes determining similarity flag information corresponding to the neighboring block, based on the transform coefficients distribution information of the neighboring block.