Image Signal Encoding and Decoding With Weighted Combined Prediction
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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 facing performance limitations.
Innovation Solution
A combined prediction method that combines multiple prediction methods, including intra and inter prediction, with weighted sum operations and partitioning of coding blocks into multiple prediction units, while restricting triangular partitioning and applying specific conditions for the combined prediction mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If HEVC video compression standard is used, then compression performance is improved (about twice as high as H.264/AVC), but performance limitations are revealed as high-definition video services advance rapidly
Solution Approach 1:
The patent combines multiple prediction methods (intra prediction and inter prediction) into a unified combined prediction mode. The decoder merges a first prediction block from inter prediction with a second prediction block from intra prediction to generate a final prediction block, achieving improved compression performance that overcomes HEVC limitations while maintaining system reliability.
2Productivity
If combined prediction mode is applied to current block, then inter prediction efficiency is improved, but device complexity increases due to multiple prediction methods and weighted sum operations
Solution Approach 1:
The patent segments the prediction process into distinct components: a first prediction block generated through inter prediction methods and a second prediction block generated through intra prediction methods. This segmentation allows the decoder to process and merge these separate blocks using weighted sum operations, improving prediction efficiency while managing complexity through structured division of the prediction task.
Solution Approach 2:
The patent applies parameter changes by using weighted sum operations to combine prediction blocks. The decoder uses weighting values to adjust the contribution of each prediction block, dynamically changing the prediction parameters based on block characteristics. This approach improves prediction accuracy while the weights are constrained to predefined sets, managing the complexity of the combined prediction mode.
3Quantity of substance
If coding block is partitioned into multiple prediction units, then compression performance is enhanced, but manufacturing precision requirements increase for partitioning operations
Solution Approach 1:
The patent partitions a current coding block into multiple prediction units, specifically dividing it into a first prediction block and a second prediction block. This segmentation enables independent processing of each block using different prediction methods, enhancing compression performance while the partitioning follows standardized geometric divisions that manage precision requirements.
Data Source
AI summary
An image decoding method according to the present disclosure may include 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.