Combined Prediction for Image Signal Compression Efficiency
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Solution Overview
Problem
The increasing demand for high-definition video services has led to a significant increase in data volume, and existing video compression standards like HEVC are showing limitations in performance.
Innovation Solution
A combined prediction method that combines multiple prediction methods, including intra and inter prediction, with weighted sum operations and specific block partitioning techniques to enhance video encoding and decoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of substance
If video compression rate is improved using existing standards like HEVC, then data volume is reduced, but compression performance reaches limitations and cannot be further improved
Solution Approach 1:
The current block is divided into multiple prediction blocks (first prediction block and second prediction block) that are processed separately using different prediction methods, then combined through weighted sum operation. This segmentation allows each block to be optimized independently, overcoming the limitations of conventional single-method prediction.
Solution Approach 2:
The patent combines multiple prediction methods (intra prediction and inter prediction) by generating prediction blocks from each method and merging them through a weighted sum operation. This hybrid approach leverages the strengths of both methods to achieve superior compression performance beyond what either method can achieve alone.
2Reliability
If a single prediction method is used for encoding/decoding, then the process is simple, but compression performance is limited
Solution Approach 1:
The prediction process is segmented into distinct stages: generating first prediction block using inter prediction, generating second prediction block using intra prediction, and combining them through weighted sum. This structured segmentation makes the complex process manageable and implementable while achieving superior performance.
Solution Approach 2:
The patent introduces weighted parameters (first weight and second weight) that control the contribution of each prediction method. By adjusting these parameters, the system can optimize compression performance for different content types while maintaining a relatively simple implementation framework.
3Reliability
If combined prediction mode is applied to all blocks, then compression performance improves, but processing complexity and computational load increase
Solution Approach 1:
The combined prediction mode is applied selectively to specific current blocks based on their characteristics, rather than uniformly to all blocks. This local application strategy optimizes compression performance for blocks that benefit most from the combined approach while reducing unnecessary processing complexity for other blocks.
Solution Approach 2:
Instead of applying the computationally intensive combined prediction method to every block, the patent applies it partially to selected blocks where it provides the most benefit. This partial action approach achieves significant compression improvement without the full computational cost of universal application.
Data Source
AI summary
An image decoding method includes the steps of: determining whether a combined prediction mode is applied to a current block; when the combined prediction mode is applied to the current block, obtaining first and second prediction blocks with respect to the current block; and, on the basis of a calculation of a weighted sum of the first and second prediction blocks, obtaining a third prediction block with respect to the current block.