Adaptive Color Transform for High-Resolution Image Compression
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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 improve encoding/decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image resolution and quality are improved to meet high-definition and ultra high-definition demands, then image quality is improved, but transmission cost and storage cost increase due to the increase in the amount of transmitted information or bits
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. The quantization parameter adjustment further optimizes the balance between quality and compression ratio.
2Manufacturing precision
If image resolution and quality are improved to meet high-definition and ultra high-definition demands, then image quality is improved, but storage cost increases due to the increase in the amount of transmitted information or bits
Solution Approach 1:
The color space transform changes the parameter representation of image data, organizing color information in a way that enables more effective compression. By transforming to a color space where color components are more independent or correlated in beneficial ways, the patent achieves better compression ratios, directly reducing storage requirements for high-quality images.
3Productivity
If adaptive color transform is applied to improve encoding/decoding efficiency, then encoding/decoding efficiency is improved, but device complexity increases
Solution Approach 1:
The patent implements adaptive color transform where the transform parameters are dynamically adjusted based on the characteristics of the image content and the quantization parameter. This adaptability allows the system to optimize encoding efficiency for different types of content while using a unified framework that manages complexity through parameter adjustment rather than multiple fixed algorithms.
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.