Image Decoding With TSRC Availability Signaling for Lower-Bit Residual Coding
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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 large amount of information required, necessitating a highly efficient image compression technique.
Innovation Solution
An image decoding method and apparatus that enhance residual coding efficiency by establishing signaling relationships between flags such as TSRC, dependent quantization, and transform skip, thereby reducing the amount of bits coded and improving overall coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality images are transmitted or stored, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent extracts and transmits only the essential residual information needed for reconstruction rather than transmitting complete high-resolution image data. By separating prediction information from residual information and selectively coding only significant residual data, the system achieves high-quality reconstruction with reduced bit usage.
Solution Approach 2:
The patent dynamically adjusts coding parameters including transform skip flags, dependent quantization flags, and sign data hiding enabled flags based on image content characteristics. These parameter changes allow the system to adaptively optimize compression efficiency while maintaining image quality, reducing the amount of information that needs to be transmitted.
2Manufacturing precision
If residual coding is performed with detailed flag information, then coding precision is improved, but the amount of bits to be coded increases
Solution Approach 1:
The patent extracts only the most critical flag information needed for accurate residual coding while omitting redundant flags. By selectively transmitting essential flags (transform skip, dependent quantization, sign data hiding) and deriving other information from these core flags, the system maintains coding precision with reduced bit usage.
Solution Approach 2:
The patent designs flag structures where single flags serve multiple functions. For example, the transform skip flag influences multiple subsequent coding decisions, and the dependent quantization flag controls both quantization behavior and transform application. This multi-functionality reduces the total number of flags needed while maintaining coding precision.
Data Source
AI summary
A method by which a decoding device decodes an image, according to the present document, comprises the steps of: acquiring prediction-related information about the current block; acquiring residual information about the current block; deriving a prediction sample of the current block on the basis of the prediction-related information; deriving a residual sample of the current block on the basis of the residual information; and generating a reconstructed picture on the basis of the prediction sample and the residual sample.