Image Decoding With Adaptive Chroma QP Mapping
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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
Deriving a chroma quantization parameter using a chroma QP mapping table based on signaled data, rather than a default table, to improve coding efficiency by reflecting the image's characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a default chroma QP mapping table is used, then the coding process is simple, but the coding efficiency does not reflect image characteristics
Solution Approach 1:
The patent applies parameter changes by deriving the chroma QP mapping table dynamically based on signaled chroma quantization parameter data rather than using a fixed default table. The mapping table is constructed by transforming the signaled QP values through specific mathematical operations (multiplication by scaling factors, addition of offsets) to create a customized mapping that adapts to the actual image characteristics and compression requirements, thereby improving coding efficiency while maintaining manageable complexity through systematic parameter transformation
2Manufacturing precision
If high-resolution and high-quality images are transmitted, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent uses parameter changes by dynamically adjusting the chroma quantization parameter through a derived mapping table that optimizes the balance between image quality and data量. The mapping table transforms quantization parameters to achieve appropriate compression levels that maintain high-resolution and high-quality image characteristics while reducing the amount of data that needs to be transmitted and stored, thereby lowering transmission and storage costs without sacrificing image quality
Solution Approach 2:
The patent applies local quality by creating a customized chroma QP mapping table that specifically adapts to the characteristics of the current image data rather than applying a uniform default mapping. This localized adaptation allows the system to optimize compression parameters for the specific content and quality requirements of each image, achieving efficient transmission and storage costs tailored to the actual image characteristics
Data Source
AI summary
An image decoding method performed by a decoding device, according to the present document, comprises the steps of: obtaining image information through a bitstream; and generating a reconstructed picture on the basis of the image information.