Portrait Background Merging via Parameter Matching
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Solution Overview
Problem
Existing image processing methods for merging portraits and backgrounds often result in poor visual effects due to differences in image parameters such as brightness and resolution, leading to unnatural merging and susceptibility to environmental factors like ambient luminance.
Innovation Solution
An image processing method and apparatus that acquire background and portrait images using a visible light camera and depth image collection component, matching preset parameters to ensure accurate extraction and merging of the portrait region with a virtual background, adjusting brightness and resolution as needed to achieve a natural merge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If existing image processing methods extract and merge portrait with virtual background, then the merging operation can be completed, but the visual effect is poor due to parameter mismatches
Solution Approach 1:
The patent adjusts image parameters including brightness, contrast, saturation, and resolution of either the portrait or background image to match between the two images. This parameter matching process ensures that the merged image achieves natural visual effects without obvious discrepancies, directly resolving the contradiction between merging accuracy and visual effect quality.
2Productivity
If portrait extraction is performed without parameter matching, then the processing speed is fast, but the result is susceptible to environmental factors like ambient luminance
Solution Approach 1:
The patent performs parameter matching as a preliminary step before the actual portrait extraction and merging operations. By pre-adjusting brightness, contrast, saturation, and resolution parameters to match between portrait and background images, the system eliminates susceptibility to environmental factors like ambient luminance changes, while maintaining efficient processing speed through automated parameter adjustment.
3Device complexity
If simple portrait extraction and merging is applied, then the device complexity is low, but the merging appears unnatural
Solution Approach 1:
The patent implements automated parameter matching that adjusts brightness, contrast, saturation, and resolution through software processing. This approach achieves natural-looking merges without requiring complex hardware modifications, maintaining low device complexity while significantly improving merging naturalness through intelligent parameter adjustment algorithms.
Data Source
AI summary
An image processing method, an image processing apparatus, an electronic device and a computer readable storage medium are provided. The image processing method includes the following. A background image and a portrait region image of a current user that a preset parameter of the background image matching the preset parameter of the portrait region image are acquired. The portrait region image and the background image are merged to obtain a merged image.


