Portrait Image Light Supplementation for Uneven Face Illumination
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Solution Overview
Problem
Capturing high-quality images is challenging due to uneven illumination, requiring professional external devices and skills for light supplementation, which most users lack.
Innovation Solution
An electronic device performs image light supplementation using internal computing capabilities to adjust shadow regions by calculating albedo and illumination images, optimizing illumination based on ambient light parameters and normal vector features.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If professional external light supplementation devices and skills are used, then image quality is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent creates virtual light sources by copying and simulating physical light behavior through computational algorithms. Instead of using actual external light devices, the system synthesizes illumination effects digitally by estimating ambient light parameters and generating virtual light fields that mimic real light supplementation, thereby achieving professional-grade image quality without requiring physical light equipment
Solution Approach 2:
The patent replaces the mechanical/optical system of external light devices with a computational system. By substituting physical light supplementation mechanisms with image processing algorithms that calculate and apply virtual illumination, the system eliminates the need for external hardware while achieving the same visual effect of improved image quality
2Manufacturing precision
If professional external light supplementation devices and skills are used, then image quality is improved, but ease of operation deteriorates
Solution Approach 1:
The patent enables the imaging system to perform light supplementation automatically without user intervention. The device captures the ambient light environment, estimates lighting parameters, and applies computational light supplementation autonomously. This self-service capability eliminates the need for users to possess professional light supplementation skills or manually operate external light devices, significantly improving ease of operation while maintaining high image quality
3Ease of operation
If computational light supplementation is performed, then ease of operation is improved, but illumination intensity and lighting effects may be insufficient compared to external devices
Solution Approach 1:
The patent dynamically adjusts multiple parameters including virtual light source intensity, direction, color temperature, and distribution patterns based on the captured ambient light environment and scene characteristics. By changing these illumination parameters adaptively, the system compensates for the lack of physical light power, achieving sufficient illumination intensity and realistic lighting effects through optimized computational parameters rather than relying on external device power
Data Source
AI summary
An electronic device first obtains a to-be-processed image, where a side of a face of a first user in the to-be-processed image lacks illumination, causing the side to be darker. Then, a first image is obtained from the to-be-processed image. Then, an albedo image and an illumination image of the first image are calculated, and light supplementation is performed on the first image by using the albedo image and the illumination image, to obtain a light-supplemented first image. Then, the electronic device replaces the first image in the to-be-processed image with the light-supplemented first image.