Image Synthesis via Quality Matching Compression
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Solution Overview
Problem
Image synthesis techniques in video conference applications often result in abrupt and disharmonious visual effects due to differences in image quality between foreground and background images, caused by compression during network transmission.
Innovation Solution
The method involves acquiring images with varying qualities, compressing the higher-quality image to match the lower-quality image's quality, and then synthesizing them to create a more harmonious and natural-looking final image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a high-quality image is synthesized with a low-quality image, then the image quality of the synthesized image is improved, but the visual harmony deteriorates due to abrupt quality differences
Solution Approach 1:
The patent applies parameter changes by adjusting the quality parameters of the first image through compression. Specifically, the system compresses the first image to reduce its quality to match the quality level of the second image, thereby achieving visual harmony in the synthesized image while maintaining acceptable overall quality
Solution Approach 2:
The patent applies local quality by differentiating the quality treatment of different images in the synthesis process. The system identifies which image has higher quality and applies compression selectively to that image, allowing each image to contribute its optimal local quality characteristics while achieving global harmony
2Stability of the object's composition
If image compression is applied to reduce quality differences, then visual harmony is improved, but image quality information is lost
Solution Approach 1:
The patent converts the harmful effect of quality differences into a benefit by using compression not as a degradation tool but as a harmonization mechanism. By compressing the higher-quality image to match the lower-quality image, the system transforms potential visual discord into harmonious integration, where the compression artifact becomes a unifying element rather than a loss
Data Source
AI summary
The present disclosure provides methods and apparatuses for performing image synthesis. An exemplary image synthesis method includes: acquiring a first image and a second image an image quality of the first image being higher than an image quality of the second image; obtaining a compressed image by compressing the first image; and synthesizing at least a part of the compressed image with at least a part of the second image.