一种手机智能自拍优化方法
By co-optimizing image processing networks and neural networks, the problem of facial detail loss and distortion in mobile phone selfies under complex environments has been solved, achieving efficient selfie image optimization and improving the clarity and personalization of selfie images.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- RIVOTEK TECH (JIANGSU) CO LTD
- Filing Date
- 2025-09-26
- Publication Date
- 2026-07-17
AI Technical Summary
Existing mobile phone selfie technology often suffers from loss of facial details or distortion in complex environments and dynamically changing lighting conditions. In particular, it is difficult to achieve efficient and accurate real-time facial feature analysis and lighting compensation on resource-constrained mobile devices.
An image processing network is used to extract facial feature maps. Key points are corrected by smoothing filtering to obtain balanced skin color and lighting parameters. An image prediction network is combined to analyze light changes and generate lighting compensation coefficients. Real-time face tracking and neural networks are used to adjust image brightness and color. Finally, a classification model is used to match user preferences and output optimized selfie images.
It significantly improves the clarity and naturalness of selfie images in complex lighting conditions, meets users' needs for high-quality selfies, and achieves personalized image optimization effects.
Smart Images
Figure CN121504745B_ABST