Video Decoding Residual Coding Simplification for High-Resolution Images
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to a significant increase in transmission and storage costs due to the higher amount of information required, necessitating a more efficient image compression technique.
Innovation Solution
A method and apparatus for improving image coding efficiency by deriving residual samples based on residual information and using a simplified residual data coding structure that signals syntax elements when the maximum context-coded bins are consumed, reducing coding complexity and enhancing overall residual coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality images are transmitted and stored, then image quality and resolution are improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent extracts and codes only the residual data that differs from the predicted values, rather than transmitting all pixel data. By separating the image into prediction components and residual components, and only coding the residual parts, the system reduces the quantity of information to be transmitted while maintaining image quality.
Solution Approach 2:
The patent changes the coding parameters by using context-adaptive binary arithmetic coding (CABAC) with different context models for different residual data types. This allows optimized compression parameters to be applied selectively, improving the efficiency of information transmission without increasing the amount of data.
2Reliability
If residual data is coded using traditional methods, then coding completeness is maintained, but coding complexity increases
Solution Approach 1:
The patent segments the residual data coding process into different types (first residual data and second residual data) with different coding methods. This segmentation allows each type to be coded using the most appropriate method, reducing overall coding complexity while maintaining completeness.
Solution Approach 2:
The patent applies simplified coding methods to certain residual data types that can be coded without requiring full context modeling. This partial application of complex coding only where necessary reduces overall coding complexity while maintaining sufficient coding completeness for all data types.
3Reliability
If all maximum available context-coded bins are used for current block, then coding thoroughness is maximized, but subsequent residual data coding efficiency decreases
Solution Approach 1:
The patent dynamically switches between different coding methods based on the coding state. When context-coded bins are exhausted for a current block, the system transitions to a simplified residual data coding method for subsequent data, optimizing efficiency for the remaining data while maintaining thoroughness for the initial data.
Solution Approach 2:
The patent applies different coding qualities to different parts of the residual data. The first residual data receives thorough context-adaptive coding, while the second residual data receives simplified coding. This local differentiation optimizes the balance between coding thoroughness and efficiency.
Data Source
AI summary
A method for performing video decoding by a decoding device according to the present document comprises the steps of: acquiring residual information of a current block; deriving residual samples of the current block on the basis of the residual information; and generating a reconstructed picture on the basis of the residual samples.