Image Processing Method for Highlighting Main Objects via Mask Segmentation
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Solution Overview
Problem
Conventional video recording functions on terminals lack personalized effects, resulting in a monotonous experience without distinguishing between individuals or colors in images, which limits the enhancement of special effects and user engagement.
Innovation Solution
An image processing method that determines a target area and background area through mask segmentation, applying different color processing modes to enhance the luminance or chrominance of the target area compared to the background, thereby highlighting the main object and providing a more engaging photography experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional video recording is used, then the recording function is simple and easy to operate, but the video effect is monotonous and lacks personalized effects
Solution Approach 1:
The patent segments the video image into multiple regions (first target area, first background area, second target area, second background area) based on object identification. Different color processing modes are applied to different regions, enabling personalized video effects while maintaining manageable processing complexity through region-based segmentation.
Solution Approach 2:
The patent applies different color processing modes (first, second, third, and fourth modes) to different regions of the video image. This local quality approach allows each region to have customized processing characteristics, enhancing video effect variety without requiring complete reprocessing of the entire image.
2Manufacturing precision
If different color processing modes are applied to different areas, then the main object prominence is enhanced, but the processing complexity increases
Solution Approach 1:
The patent divides the image into distinct segments (target areas and background areas) and applies specific color processing modes to each segment. This segmentation strategy enhances object prominence by creating visual contrast between processed and unprocessed regions, while the modular approach keeps processing complexity manageable.
Solution Approach 2:
The patent employs multiple color processing modes that modify chrominance and luminance characteristics of different regions. By applying color changes selectively to target areas versus background areas, the patent enhances object prominence through chromatic contrast while using established color processing techniques to control complexity.
Data Source
AI summary
An image processing method includes determining a target area and a background area in an image by performing mask segmentation on the image. Different color processing modes are applied to the target area and the background area, so that luminance of the target area is greater than luminance of the background area, or chrominance of the target area is greater than chrominance of the background area, and a main object corresponding to the target area is more prominently highlighted.