Block Quantization Parameter Signaling for Complex Image Trees
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional image encoding/decoding methods struggle with encoding or decoding delta quantization parameters for blocks with various tree structures, leading to inefficiencies in signaling and coding.
Innovation Solution
An image encoding/decoding method that adaptively determines the size of a block for signaling delta quantization parameters based on size information of a quantization group, using depth, area, ratio, shape, or subdivision information to derive quantization parameters for current blocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional quantization parameter encoding methods are used for blocks with various tree structures, then encoding simplicity is maintained, but signaling efficiency and coding performance deteriorate
Solution Approach 1:
The image is divided into multiple quantization groups using a quadtree structure, where each group can be independently processed. This segmentation allows the patent to handle different block structures (square and non-square) separately, improving signaling efficiency by adapting quantization parameter encoding to each specific block type rather than using a uniform approach for all blocks
Solution Approach 2:
The patent dynamically adapts the quantization parameter encoding method based on the block structure. For square blocks, one encoding approach is used, while for non-square blocks, a different approach is applied. This dynamic adaptation allows the system to optimize signaling efficiency for each block type while managing the complexity of various tree structures
2Measurement precision
If delta quantization parameters are signaled for all blocks, then coding precision is improved, but the number of bits required increases
Solution Approach 1:
The patent applies different encoding precision to different blocks based on their characteristics. Instead of uniformly encoding delta quantization parameters for all blocks, the method selectively applies precision where needed, reducing the total bit rate while maintaining necessary coding precision for blocks that require it
Solution Approach 2:
The patent uses partial action by not signaling delta quantization parameters for all blocks, but only for specific blocks where it provides benefit. This selective approach reduces the overall bit rate while maintaining adequate precision for the most critical blocks
3Productivity
If quantization parameters are adapted to block structure, then coding efficiency is improved, but device complexity increases
Solution Approach 1:
The encoding algorithm is segmented into distinct handling paths for square and non-square blocks. This segmentation allows the system to achieve coding efficiency by adapting to different block structures while managing complexity through structured, modular processing rather than a single complex algorithm
Data Source
AI summary
There is provided an image encoding/decoding method and apparatus. The image decoding method comprises decoding size information of a quantization group from a bitstream, acquiring a delta quantization parameter of a current block on the basis of the size information of the quantization group, and deriving a quantization parameter for the current block on the basis of the delta quantization parameter.