Rice Parameter Derivation for Image Residual Coding Efficiency
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Solution Overview
Problem
High-resolution and high-quality image data requires efficient compression techniques to reduce transmission and storage costs, as existing methods are inefficient due to increased information volume.
Innovation Solution
The method involves deriving Rice parameters for binarizing residual coefficients, improving the efficiency of residual coding by simplifying the process of deriving Rice parameters for residual coefficients, especially in the pixel domain where there is little correlation, and using these parameters to enhance image/video compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image compression techniques are used for high-resolution images, then transmission and storage costs increase, but image quality and resolution are maintained
Solution Approach 1:
The patent changes the parameter of Rice coding by setting the Rice parameter to a specific value (e.g., 0) for residual coefficients in the pixel domain, rather than using conventional dynamic Rice parameter derivation. This parameter change simplifies the encoding process and reduces the number of bits required to represent residual information, thereby improving compression efficiency while maintaining image quality
Solution Approach 2:
The patent applies different Rice parameter settings to different domains: for transform domain coefficients, conventional Rice parameter derivation is used, while for pixel domain residual coefficients, a fixed specific value is used. This local differentiation optimizes compression for each domain's characteristics, reducing overall bitrate without sacrificing image quality
2Measurement precision
If complex Rice parameter derivation is used for residual coefficients, then coding accuracy improves, but computational complexity increases
Solution Approach 1:
The patent simplifies the Rice parameter from a dynamically derived value to a fixed specific value (e.g., 0) for pixel domain residual coefficients. This parameter change eliminates the computational complexity of deriving Rice parameters while maintaining sufficient coding accuracy for the pixel domain, where residual coefficients have different statistical characteristics compared to transform domain coefficients
Data Source
AI summary
An image decoding method includes receiving residual information including first size related information for a first residual coefficient and second size related information for a second residual coefficient, setting a Rice parameter of the first size related information and the second size related information as a specific value, deriving available binary values based on the Rice parameter, deriving binary values of the first size related information and the second size related information by decoding the first size related information and the second size related information, deriving values of the first size related information and the second size related information by comparing the binary values and the available binary values, deriving the first residual coefficient and the second residual coefficient based on the values, and reconstructing a current picture based on the first residual coefficient and the second residual coefficient.