Weighted Intra Prediction for Higher Image Compression Efficiency
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Solution Overview
Problem
Existing image encoding technologies face challenges in enhancing compression efficiency, particularly in flat areas with continuity and constant directionality, and in scenarios requiring intra-prediction for the first picture, leading to increased costs in data transmission and storage for high-resolution and high-quality images.
Innovation Solution
A method for deriving and generating intra-prediction blocks using a weighted sum of multiple prediction modes, including neighboring block modes and calculating matching degrees to enhance compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If intra-prediction is used for high-resolution and high-quality images, then image quality is improved, but data transmission and storage costs increase
Solution Approach 1:
The current block is divided into multiple regions (first region and second region) with different prediction modes applied to each region. This segmentation allows the patent to apply complex weighted sum prediction only to specific regions where it provides the most benefit, rather than uniformly across the entire block, thereby reducing overall computational complexity and data processing requirements while maintaining image quality in critical areas.
Solution Approach 2:
Different prediction modes are applied to different regions of the current block based on local characteristics. The first region uses a first intra-prediction mode while the second region uses a second intra-prediction mode, allowing the patent to optimize prediction accuracy for specific local areas without unnecessarily processing the entire block with high computational complexity.
2Productivity
If multiple intra-prediction modes are used to enhance compression efficiency, then compression efficiency is improved, but encoding complexity increases
Solution Approach 1:
The patent segments the current block into multiple regions and applies different prediction modes to each segment. This allows the system to use multiple prediction modes selectively rather than evaluating all modes for the entire block, thereby improving compression efficiency through mode diversity while reducing encoding complexity through spatial segmentation.
Solution Approach 2:
The patent applies the computationally intensive weighted sum prediction only to specific regions where it provides the most benefit, rather than applying it uniformly across the entire block. This partial application of complex prediction techniques achieves improved compression efficiency while avoiding the prohibitive complexity of applying it everywhere.
3Measurement precision
If intra-prediction is used for flat areas with continuity, then spatial prediction accuracy is improved, but encoding efficiency decreases compared to inter-prediction
Solution Approach 1:
The patent changes the prediction parameters by using a weighted sum of multiple prediction modes rather than a single mode. This allows the system to adapt to local characteristics in flat areas with continuity, improving spatial prediction accuracy while maintaining encoding efficiency through parameter optimization rather than relying solely on inter-prediction.
Data Source
AI summary
An image encoding/decoding method and apparatus for performing template matching-based intra prediction are provided. An image decoding method may comprise deriving a first intra-prediction mode for a current block, generating a first intra-prediction block corresponding to the first intra-prediction mode, deriving a second intra-prediction mode for the current block, generating a second intra-prediction block corresponding to the second intra-prediction mode, and generating a final intra-prediction block by using a weighted sum of the first intra-prediction block and the second intra-prediction block.