Image Decoding With Weighted Multi-Hypothesis Prediction Blocks
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Solution Overview
Problem
Existing image compression technologies face challenges in efficiently compressing high-resolution and high-quality images, particularly in accurately performing inter prediction and deriving reference blocks for multi-reference block modes.
Innovation Solution
An image decoding method that generates a basic prediction block through bi-prediction using a first inter prediction mode, derives additional reference blocks based on a second inter prediction mode, and combines these blocks through weighted summation to improve prediction accuracy and reduce signaling overhead.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-reference block mode is used to improve prediction accuracy, then prediction accuracy is improved, but device complexity increases
Solution Approach 1:
The patent segments the prediction process into multiple independent reference blocks (first reference block, second reference block, and additional reference blocks). Each reference block can be derived using different inter prediction modes independently, allowing the system to achieve high prediction accuracy through multiple specialized prediction paths rather than one complex unified process.
Solution Approach 2:
The patent creates a universal framework where multiple reference blocks serve different prediction purposes simultaneously. The additional reference blocks can be derived using various inter prediction modes (merge mode, AMVP mode, or AMVP-merge combined mode), making the system multi-functional and adaptable to different prediction scenarios without increasing overall structural complexity.
2Productivity
If additional reference blocks are derived to improve compression efficiency, then compression efficiency is improved, but signaling overhead increases
Solution Approach 1:
The patent changes the parameters of existing reference blocks by deriving additional reference blocks from the first or second reference blocks using different inter prediction modes. This approach allows the system to generate multiple prediction hypotheses without introducing entirely new blocks, thereby improving compression efficiency while minimizing the signaling overhead associated with defining and transmitting new block parameters.
3Measurement precision
If multiple inter prediction modes are combined then prediction accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The patent implements a dynamic selection mechanism where the decoder adaptsively chooses different inter prediction modes (merge mode, AMVP mode, or AMVP-merge combined mode) for deriving additional reference blocks based on the specific coding context. This dynamic approach allows the system to maintain high prediction accuracy while simplifying the operational complexity by selecting the most appropriate mode for each situation rather than rigidly applying all modes.
Data Source
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AI summary
An image encoding/decoding method and device, according to the present disclosure, may: generate a basic prediction block of a current block by performing bi-prediction on the basis of a first inter prediction mode; derive an additional reference block of the current block on the basis of a second inter prediction mode; and generate a final prediction block of the current block by weighted summing the basic prediction block and the additional reference block.