Face Image Processing Skin Mask Noise Filtering
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Solution Overview
Problem
Existing image processing software requires high skill and complexity for users to remove blemishes and dark spots from face images, failing to maintain a natural, bright, and flawless skin condition, which is a common user requirement in photography.
Innovation Solution
A face image processing method that automatically detects faces in digital images, uses a multi-seeds algorithm for skin color detection, and applies a Gaussian and Laplacian pyramid operation with non-local filtering to remove high-frequency, mid-frequency, and low-frequency noises, ensuring natural details are preserved while eliminating blemishes and dark spots.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional image processing software uses manual editing tools (rubber eraser, paintbrush) to remove blemishes and dark spots, then the removal effect can be achieved, but the operation complexity increases and requires high user skill
Solution Approach 1:
The system automatically detects skin areas, identifies blemishes and dark spots, and performs removal operations without requiring user intervention. The algorithm autonomously selects regions needing treatment and applies appropriate filtering, transforming a manual task into an automated self-service process that maintains high removal quality while eliminating operational complexity
Solution Approach 2:
The patent replaces manual mechanical editing operations with automated image processing algorithms. Instead of using rubber eraser and paintbrush tools that require user skill, the system employs computer vision and signal processing techniques to detect and remove blemishes automatically, substituting mechanical user actions with intelligent algorithmic operations
2Manufacturing precision
If professional photo retouch service is used to remove blemishes and dark spots, then natural skin color can be maintained, but the service requires experienced professionals and increases time and effort
Solution Approach 1:
The patent replaces professional manual retouching with automated image processing algorithms that analyze skin color characteristics and preserve natural tones. The system uses color space transformation and statistical analysis to distinguish between natural skin variations and blemishes, automatically applying corrections that maintain natural appearance without requiring professional expertise or significant time investment
Solution Approach 2:
The system transforms the retouching process from manual parameter adjustment to automated parameter optimization. By converting images to different color spaces and analyzing statistical parameters of skin regions, the algorithm automatically determines appropriate correction levels that preserve natural skin appearance, eliminating the need for professional judgment and reducing processing time
3Ease of operation
If existing image processing software provides editing tools for flaw removal, then partial retouch can be achieved, but professional retouch effect cannot be obtained
Solution Approach 1:
The patent replaces basic editing tools with advanced automated algorithms that perform professional-level retouching. Instead of relying on simple smudge, smear, or imitate tools that produce unnatural results, the system employs machine learning-based skin detection and sophisticated filtering algorithms that understand skin texture and color patterns, delivering professional-quality results while maintaining ease of use
Data Source
AI summary
A face image processing method is applied to an electronic device, such that the electronic device can perform a face detection to a digital image to obtain a face image in the digital image automatically, and perform a skin color detection to the face image to exclude non-skin features such as eyes, eyeglasses, eyebrows, a moustache, a mouth and nostrils on the face image, and form a skin mask in an area range of the face image belonging to skin color, and finally perform a filtering process to the area range of the face image corresponding to the skin mask to filter high-frequency, mid-frequency and low-frequency noises of an abnormal skin color in the area range of the face image, so as to quickly remove blemishes and dark spots existed in the area range of the face image.