Skin Image Frequency Adjustment for Natural Face Beautification
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Solution Overview
Problem
Conventional skin beautification correction methods in image capturing apparatuses result in unnaturalness at face boundary portions due to differences in correction methods and loss of three-dimensional appearance.
Innovation Solution
An image processing apparatus and method that extracts AC signals of different frequency bands, adjusts their amplitudes using specific adjustment values, detects skin areas, and corrects image data to maintain a three-dimensional appearance while achieving natural skin beautification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If different correction methods are used for each portion of the face, then skin beautification correction is improved, but unnaturalness occurs at boundary portions
Solution Approach 1:
The face area is divided into multiple portions based on luminance characteristics, and different correction methods are applied to each portion. High-luminance portions (highlight areas) use one correction method while low-luminance portions (shadow areas) use another, allowing targeted beautification while maintaining natural transitions at boundaries.
Solution Approach 2:
Different correction strategies are applied to different regions of the face based on their luminance properties. Highlight portions receive correction optimized for bright areas, while shadow portions receive correction optimized for dark areas, creating locally appropriate beautification that maintains overall naturalness.
2Device complexity
If simple mean filter process is used for skin beautification, then processing is simplified, but three dimensional appearance of the face is lost
Solution Approach 1:
The correction process dynamically adjusts parameters based on local luminance characteristics. By detecting highlight and shadow portions and applying different correction methods to each, the system maintains the dynamic three-dimensional structure of the face while achieving skin beautification, avoiding the flat appearance caused by uniform filtering.
Solution Approach 2:
Different correction parameters are applied to different luminance regions. The correction method changes parameters such as filter strength and processing intensity based on whether the area is a highlight or shadow portion, preserving three-dimensional appearance while simplifying the overall processing approach.
Data Source
AI summary
In an image processing apparatus, an extraction unit extracts a plurality of AC signals of a plurality of different frequency bands from image data input by an input unit; a generation unit generates first and second adjustment values for adjusting positive and negative components of an amplitude of each AC signal; an adjustment unit adjusts the amplitude of each AC signal using the first and second adjustment values; a detection unit detects a skin area from the image data; and a correction unit corrects image data of the skin area using the adjusted AC signals. The generation unit generates the first adjustment value such that the positive component of the amplitude of the AC signal of a first frequency band is less attenuated than that of the AC signal of a second frequency band which is lower than the first frequency band.


