Chroma Quantization Parameter Table for Image Decoding
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images has led to a need for highly efficient image compression techniques to reduce transmission and storage costs.
Innovation Solution
The proposed method and apparatus improve image coding efficiency by determining a quantization parameter table for the chroma component based on signaled chroma quantization data, allowing for coding based on a quantization parameter that matches the characteristics of the image.
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 applies parameter changes by dynamically adjusting quantization parameters based on image characteristics. Different quantization parameter tables are selected according to the complexity and content of the image, allowing for optimized compression ratios while maintaining perceptual quality. This resolves the contradiction by changing the quantization parameter values adaptively rather than using fixed parameters.
Solution Approach 2:
The patent implements local quality by applying different quantization parameter tables to different regions or blocks within an image. Complex regions with detailed content use quantization tables that preserve more detail, while simple regions use more aggressive compression. This allows the system to maintain high quality where needed while reducing overall data quantity.
2Productivity
If a quantization parameter table is determined based on signaled chroma quantization data, then coding efficiency is improved, but data processing complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-defining multiple quantization parameter tables with different characteristics before actual image coding. These tables are prepared in advance and stored for quick retrieval. During coding, the system only needs to select from these pre-prepared tables based on simple criteria, avoiding the need to compute complex quantization parameters in real-time.
Solution Approach 2:
The patent uses parameter changes by signaling chroma quantization data that indicates which pre-defined quantization parameter table to use. Instead of transmitting full quantization tables or computing them on-the-fly, the system changes the parameter state by selecting from a finite set of pre-configured tables, simplifying the processing while maintaining coding efficiency.
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; and generating a reconstructed picture on the basis of the image information.