Residual Color Space Transform for Efficient Image Encoding
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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 apparatus that employs adaptive color space transformation for residual processing, including partitioning images into blocks, determining color space transformation application, and adjusting quantization parameters within specified ranges to enhance encoding/decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image resolution and quality are improved, then image quality is improved, but transmission cost and storage cost increase
Solution Approach 1:
The patent applies color space transformation (converting from RGB to YCbCr or other color spaces) and adjusts quantization parameters to change how image data is represented. This transformation allows high-quality images to be encoded with fewer bits by exploiting human visual system characteristics, where luminance information is more important than chrominance information, thereby reducing transmission and storage requirements while maintaining perceived image quality
Solution Approach 2:
The patent performs residual processing with adaptive color space transformation on a block-by-block basis, allowing different regions of the image to be processed with appropriate color space transformations and quantization parameters. This enables efficient compression by applying different processing strategies to different image regions, reducing overall data quantity while preserving quality where it matters most
2Productivity
If color space transformation is applied to residual samples, then encoding efficiency is improved, but device complexity increases
Solution Approach 1:
The patent divides the image into blocks and applies color space transformation and quantization processing to each block independently. This segmentation allows the complex processing to be broken down into manageable, repetitive operations that can be efficiently implemented in hardware or software, reducing overall device complexity while maintaining encoding efficiency
Solution Approach 2:
The patent uses adaptive color space transformation where the transformation type and quantization parameters are selected dynamically based on block characteristics. This adaptability allows the system to optimize encoding efficiency for different image content while using standardized processing steps that can be efficiently implemented, balancing complexity and performance
Data Source
AI summary
An image encoding/decoding method and apparatus are provided. The image decoding method performed by the image decoding apparatus, according to the present disclosure, may comprise the steps of: determining whether a color space transformation is applied to residual samples of a current block; determining quantization parameter of the current block on the basis of whether the color space transformation is applied; and determining a transformation coefficient of the current block on the basis of the quantization parameter. The step of determining the quantization parameter may be performed by limiting the range of an effective value of the quantization parameter such that a value of the quantization parameter has a value less than or equal to a predetermined upper value and greater than or equal to a predetermined lower value.