Residual Image Decoding with Blockwise Context Bin Limits
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing demand for high-resolution, high-quality images results in higher transmission and storage costs due to the increased amount of information, necessitating a more efficient image compression technique.
Innovation Solution
Adaptive adjustment of the maximum number of context-coded bins for context syntax elements in transform blocks to enhance residual coding efficiency, including methods for encoding and decoding residual information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution, high-quality image data is transmitted or stored, then image quality is improved, but transmission cost and storage cost increase due to increased amount of information
Solution Approach 1:
The patent applies parameter changes by adaptively adjusting the maximum number of context-coded bins for different transform block sizes. Specifically, the maximum number of bins is set to 28 for 4×4 blocks, 16 for 8×8 blocks, and 8 for 16×16 blocks. This parameter adaptation allows the coding system to optimize between compression efficiency and computational complexity based on the specific transform block dimensions, thereby reducing the overall data量 while maintaining image quality.
2Productivity
If the number of context-coded bins is increased to improve coding efficiency, then compression efficiency is improved, but computational complexity increases
Solution Approach 1:
The patent implements local quality by assigning different maximum numbers of context-coded bins to different transform block sizes. Smaller blocks (4×4) use a larger number of bins (28) for finer granularity, while larger blocks (8×8, 16×16) use fewer bins (16, 8 respectively). This localized adaptation ensures that computational resources are allocated efficiently based on the specific requirements of each block size, avoiding unnecessary complexity in larger blocks while maintaining efficiency in smaller blocks.
Data Source
AI summary
An image decoding method, which is performed by a decoding device according to the present document, is characterized by including: a step for receiving a bitstream including residual information about the current block; a step for deriving a maximum value of the number of context-encoding bins for context syntax elements coded on the basis of context included in the residual information; a step for entropy-decoding the context syntax elements on the basis of the maximum value; a step for deriving conversion coefficients for the current block on the basis of the entropy-decoded context syntax elements; a step for deriving a residual sample for the current block on the basis of the conversion coefficients; and a step for generating a reconstructed picture on the basis of the residual sample for the current block.