Adaptive Color Transform in Image Coding for Bitrate Reduction
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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 rise in the amount of transmitted information or bits, necessitating high-efficient image compression technology.
Innovation Solution
An image encoding/decoding method and device utilizing adaptive color transform, which includes determining a prediction mode, applying a color space transform flag, and clipping quantization parameters to enhance encoding/decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high-resolution and high-quality image data is transmitted, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent applies color space transform (CST) to convert image data from one color space to another, changing the parameter representation of color information. This transformation allows for more efficient compression by exploiting correlations between color components, thereby reducing the amount of transmitted information while maintaining image quality
Solution Approach 2:
The patent divides the image data into different color components (luma and chroma) and processes them separately through adaptive color transform. By segmenting the color information, the patent can apply different compression strategies to different components, optimizing the balance between quality and transmission cost
2Productivity
If adaptive color transform is applied, then encoding efficiency is improved, but computational complexity increases
Solution Approach 1:
The patent implements adaptive color transform that can dynamically switch between different color spaces (e.g., RGB, YCbCr) based on the characteristics of the input image. This adaptability allows the system to optimize encoding efficiency for different types of content while managing computational complexity through selective application of transform algorithms
3Stability of the object's composition
If quantization parameter clipping is applied, then decoding stability is improved, but precision of color representation is reduced
Solution Approach 1:
The patent applies clipping to quantization parameters to constrain them within a valid range, ensuring stable decoding operations. This parameter constraint prevents numerical instability and overflow issues while maintaining sufficient color representation precision through optimized quantization step sizes
Data Source
AI summary
An image encoding/decoding method and device are provided. An image decoding method performed by an image decoding device according to the present disclosure may comprise the steps of: determining a prediction mode of the current block on the basis of prediction information obtained from a bitstream; on the basis of the prediction mode of the current block, obtaining a flag indicating whether a color space transform is applied to a residual sample of the current block; determining a quantization parameter of the current block on the basis of the flag; and determining a transform coefficient of the current block on the basis of the quantization parameter.