Adaptive Color Component Prediction for High-Resolution Compression
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Solution Overview
Problem
High-resolution and high-quality images result in increased data volumes, leading to higher costs for transmission and storage, necessitating improved image compression techniques.
Innovation Solution
An image decoding method that predicts a second color component block using a first color component block, with parameters derived from the first block, and adjusts block sizes and shapes for efficient compression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If high-resolution and high-quality images are used, then image quality is improved, but data volume increases leading to higher transmission and storage costs
Solution Approach 1:
The patent applies parameter changes by modifying the prediction parameter derivation process. Specifically, it determines whether to derive prediction parameters based on the size of chroma blocks (4:2:0, 4:2:2, or 4:4:4 sampling configurations) and adjusts the derivation method accordingly. This adaptive parameter change enables efficient compression while maintaining image quality, resolving the contradiction between quality and data volume.
Solution Approach 2:
The invention implements dynamics by making the prediction parameter derivation adaptive to different block sizes and sampling configurations. The system dynamically selects the appropriate derivation method based on the chroma block size (4:2:0, 4:2:2, or 4:4:4), allowing the encoding process to optimize compression efficiency for each specific case rather than using a fixed approach.
2Quantity of substance
If conventional image compression techniques are used, then transmission and storage costs are reduced, but compression efficiency is insufficient for high-resolution images
Solution Approach 1:
The patent enhances compression efficiency by implementing parameter changes in the prediction parameter derivation process. It adapts the derivation method based on chroma block size and sampling configuration (4:2:0, 4:2:2, or 4:4:4), enabling more effective compression of high-resolution images while reducing data volume for transmission and storage.
Solution Approach 2:
The invention applies dynamics by making the compression process adaptive to different image characteristics. The system dynamically adjusts prediction parameter derivation based on the detected chroma block size and sampling configuration, optimizing compression efficiency for each specific imaging scenario rather than using a static compression approach.
Data Source
AI summary
An image encoding/decoding method and apparatus for predicting a second color component block using a first color component block are provided. An image decoding method of the present invention comprises deriving a prediction parameter using the first color component block, and predicting the second color component block using the derived prediction parameter.