Local Illumination Compensation for Video Encoding Efficiency
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Solution Overview
Problem
The increasing resolution and quality of image data lead to higher data volumes, resulting in increased costs for transmission and storage, and existing image compression techniques are not sufficient to address these challenges effectively.
Innovation Solution
An image encoding/decoding method and apparatus based on local illumination compensation, which involves deriving a relationship between samples to adaptively obtain an illumination compensation coefficient, improving the efficiency of image encoding and decoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image resolution and quality are increased, then image quality is improved, but data volume increases leading to higher transmission and storage costs
Solution Approach 1:
The image is divided into multiple blocks, and each block is further segmented into reference regions and current regions. This segmentation allows for localized processing where illumination compensation parameters are derived for each block, enabling efficient compression while maintaining quality. The segmentation principle is applied by dividing the image into manageable units that can be processed independently with region-specific parameters.
Solution Approach 2:
The patent applies local illumination compensation by deriving illumination parameters specifically for each block based on its reference region characteristics. Different blocks can have different illumination compensation parameters adapted to their local lighting conditions. This local quality approach ensures that each region is processed with parameters optimized for its specific illumination characteristics, improving overall compression efficiency while maintaining image quality.
2Quantity of substance
If conventional image compression techniques are used, then data volume is reduced, but image quality and transmission efficiency are insufficient
Solution Approach 1:
The patent introduces illumination compensation parameters (weighting factors and offsets) that are derived from reference regions and applied to current blocks. These parameters change the representation of image data by compensating for illumination variations before compression. The parameter changes enable more efficient encoding by capturing illumination characteristics separately, allowing for better compression ratios while maintaining image quality and transmission efficiency.
3Productivity
If illumination compensation is applied, then encoding efficiency is improved, but computational complexity increases
Solution Approach 1:
The patent applies illumination compensation selectively to blocks where it provides benefit, rather than uniformly to the entire image. The reference region is used to derive parameters only for the corresponding current block, and the compensation is applied partially based on the specific illumination characteristics of each block. This partial action approach reduces overall computational complexity while maintaining encoding efficiency in regions where illumination variation is significant.
Data Source
AI summary
There is provided an image decoding method comprising: deriving a first prediction value of a current block by using at least one sample included in a reference block, obtaining an illumination compensation parameter on the basis of a predetermined reference region, deriving a second prediction value of the current block by applying the illumination compensation parameter to the first prediction value and reconstructing the current block on the basis of the second prediction value.