Chroma Component Decoding with Adaptive Quantization Tables
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images leads to higher transmission and storage costs due to the increased amount of information, necessitating a more efficient image compression technique.
Innovation Solution
An image decoding method that improves coding efficiency by deriving a chroma quantization parameter table based on quantization parameter data, using a flag to determine the presence of quantization parameter data for combined chroma coding, and generating a reconstructed picture from prediction and residual samples.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image resolution and quality are increased, then image information content is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the chroma quantization parameter based on the chroma block type (intra or inter prediction) and neighboring block information. This allows the system to optimize the balance between image quality and data量 by changing the quantization parameter according to local image characteristics, thereby reducing the amount of information that needs to be transmitted while maintaining acceptable quality.
Solution Approach 2:
The patent implements local quality by deriving different quantization parameters for different chroma block types (intra vs. inter prediction) and using neighboring block information to adjust the parameter. This localized approach allows higher quality preservation in important regions while compressing less important regions more aggressively, thus reducing overall data requirements.
2Measurement precision
If chroma quantization parameter is derived using complex methods, then coding precision is improved, but device complexity increases
Solution Approach 1:
The patent applies self-service by enabling the coding device to automatically derive the chroma quantization parameter using built-in rules that utilize already-available information such as chroma block type, neighboring block types, and previously derived luma quantization parameters. This eliminates the need for complex external calculations or manual configuration, reducing device complexity while maintaining derivation precision.
Solution Approach 2:
The patent uses an intermediary approach by introducing a chroma quantization parameter derivation unit that acts as a mediator between the existing luma quantization parameter and the required chroma quantization parameter. This intermediary unit simplifies the overall system by providing a straightforward transformation rule rather than requiring complex direct calculation.
3Productivity
If quantization parameter data is signaled for combined chroma coding, then coding efficiency is improved, but syntax element size increases
Solution Approach 1:
The patent applies partial action by signaling quantization parameter data only when necessary (for combined chroma coding cases) rather than always signaling it. The flag indicates whether the quantization parameter data is present, allowing the decoder to process only the relevant information, thus improving coding efficiency without unnecessarily increasing syntax element size in all cases.
Data Source
AI summary
An image decoding method performed by a decoding device, according to the present document, comprises the steps of: deriving a chroma quantization parameter table on the basis of quantization parameter data; deriving a quantization parameter for combined chroma coding on the basis of the chroma quantization parameter table; deriving prediction samples of a current chroma block on the basis of prediction information; deriving transform coefficients of the current chroma block on the basis of residual information; deriving residual samples by dequantizing the transform coefficients on the basis of the quantization parameter; and generating a reconstructed picture on the basis of the prediction samples and the residual samples.