Unified Transform Tree for Luminance and Chrominance Decoding
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Solution Overview
Problem
The use of different tree structures for luminance and chrominance in video coding increases the code amount, particularly when different prediction methods are applied, leading to higher motion information requirements and increased coding complexity.
Innovation Solution
An image encoding and decoding device that splits the transform unit for luminance but not chrominance, and generates prediction images for luminance and chrominance using shared prediction parameters, reducing the need for separate tree structures and motion information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If different tree structures are used for luminance and chrominance, then coding efficiency is improved, but code amount increases
Solution Approach 1:
The patent merges the tree structure processing for luminance and chrominance by using a single transform tree for both components. This is achieved by configuring the transform unit to process both luminance and chrominance data within the same tree structure, eliminating the need for separate tree structures and reducing the code amount required to represent the coding structure.
Solution Approach 2:
The transform tree is designed to serve multiple functions by processing both luminance and chrominance components within the same structure. The single transform tree can handle different data types and components, making it a universal structure that reduces overall complexity and code amount while maintaining coding efficiency.
2Measurement precision
If different prediction methods are applied to luminance and chrominance, then prediction accuracy is improved, but motion information overhead increases
Solution Approach 1:
The patent merges the prediction processing for luminance and chrominance by using a single prediction unit and shared motion information for both components. This approach allows the system to maintain different prediction methods for each component while sharing common motion data, thereby improving prediction accuracy without proportionally increasing motion information overhead.
Solution Approach 2:
The patent performs preliminary action by deriving motion information from luminance and reusing it for chrominance prediction. This preliminary derivation of motion data allows subsequent chrominance prediction to proceed with reduced overhead, as the motion information has already been processed and is readily available for reuse.
3Adaptability or versatility
If separate tree structures are used for luminance and chrominance, then processing flexibility is improved, but device complexity increases
Solution Approach 1:
The patent merges the separate tree structures into a single unified transform tree that handles both luminance and chrominance. This consolidation reduces device complexity by eliminating redundant structural elements while maintaining processing flexibility through configurable processing modes within the unified structure.
Solution Approach 2:
The unified transform tree is designed with universal capabilities to process different data types and components. By making the structure multi-functional, it can adapt to different processing requirements for luminance and chrominance without requiring separate dedicated structures, thereby reducing overall device complexity while preserving flexibility.
Data Source
AI summary
An image decoding device (31) includes a transform coefficient decoding unit (311) configured to decode a transform coefficient for a transform tree included in a coding unit. In the transform tree, the transform coefficient decoding unit splits a transform unit corresponding to luminance and then decodes the transform coefficient related to the luminance, and does not split the transform unit corresponding to chrominance and decodes the transform coefficient related to the chrominance.