Residual Coding Binarization With Sub-Block Rice Parameters
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Solution Overview
Problem
The increasing demand for high-resolution, high-quality images/videos, such as 4K or 8K Ultra High Definition, and emerging applications like virtual reality and augmented reality require more efficient image/video compression techniques to reduce transmission and storage costs.
Innovation Solution
A method and device for enhancing image coding efficiency by performing a binarization process on residual information based on a rice parameter, with a maximum value of 3, to improve residual coding efficiency, including deriving rice parameters for sub-blocks within current blocks during image encoding and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional residual coding methods are used for high-resolution images, then image quality can be maintained, but transmission and storage costs increase significantly
Solution Approach 1:
The current block is divided into multiple sub-blocks, and rice parameters are separately derived for each sub-block. This segmentation allows for more precise local optimization of binarization processes, improving compression efficiency while maintaining image quality in different regions of the block
Solution Approach 2:
The patent derives rice parameters dynamically based on sub-block characteristics rather than using fixed parameters. By changing the parameter derivation approach to be adaptive and location-specific, the coding efficiency is improved without sacrificing image reconstruction quality
2Adaptability or versatility
If rice parameter values greater than 3 are allowed, then binarization flexibility increases, but coding complexity and processing overhead increase
Solution Approach 1:
Different rice parameter values (0-3) are applied to different sub-blocks based on their local characteristics. This local optimization provides adaptability where needed while maintaining simplicity through a bounded parameter range, avoiding the complexity of unbounded parameter selection
Solution Approach 2:
The patent uses a limited range of rice parameter values (0-3) which is sufficient for most practical cases. This partial action approach avoids the excessive complexity of allowing any possible parameter value while still providing adequate flexibility for effective binarization
Data Source
AI summary
A method for decoding a picture performed by a decoding apparatus according to the present disclosure includes receiving a bitstream including residual information, deriving a quantized transform coefficient for a current block based on the residual information included in the bitstream, deriving a transform coefficient from the quantized transform coefficient based on a dequantization process, deriving a residual sample for the current block by applying an inverse transform to the derived transform coefficient, and generating a reconstructed picture based on the residual sample for the current block.