Intra Prediction Mode Derivation for Color-Aware Image Coding
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Solution Overview
Problem
Existing image encoding and decoding technologies lack efficient methods for deriving intra prediction modes and configuring reference pixels, particularly for color components, leading to suboptimal performance in image processing systems.
Innovation Solution
An image encoding/decoding method and device that determines intra prediction modes based on color components, using prediction mode candidate groups classified into categories, and configures reference pixels with weighted or interpolation filters, allowing for selective modification of prediction blocks based on coding information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional image encoding and decoding methods are used, then the system can process images, but the performance and efficiency of image processing are insufficient
Solution Approach 1:
The patent segments the prediction mode derivation process by separately handling luma and chroma components with component-specific candidate groups. Luma components use one set of prediction mode candidates while chroma components use another set, allowing optimized processing for each color component type and improving overall encoding efficiency without compromising performance
Solution Approach 2:
The patent dynamically adjusts the prediction mode candidate groups based on the color component type (luma or chroma) and block characteristics. The system adapts the prediction strategy by selecting from different candidate groups depending on the specific encoding context, enabling flexible optimization of both speed and performance
2Measurement precision
If intra prediction mode is determined without color component consideration, then the encoding process is simpler, but the accuracy of prediction is suboptimal
Solution Approach 1:
The patent applies local quality by using different prediction mode candidate groups for different color components. Luma components have their own specific candidate groups while chroma components have separate candidate groups, allowing each component to be predicted with the most appropriate modes for its characteristics, thereby improving prediction accuracy without uniformly increasing complexity across all components
3Reliability
If reference pixels are used without filtering, then the processing is faster, but the quality of prediction block is reduced
Solution Approach 1:
The patent applies partial action by selectively applying weighted and interpolation filters only when beneficial for prediction quality. The system uses filtering operations (weighted filters and interpolation filters) on reference pixels to enhance prediction block quality, but only in contexts where the quality improvement justifies the additional processing, thereby balancing speed and quality
Data Source
AI summary
Image encoding/decoding method and device according to the present invention enable deciding of an intra-screen prediction mode of a target block, generation of a prediction block of the target block on the basis of the intra-screen prediction mode, and correction of the generated prediction block.