研究目的
Investigating the therapeutic effects of a specific herbal medicine on a particular disease.
研究成果
The proposed algorithm combining super-resolution processing and facial-correction processing of facial images was confirmed effective by experiment. It successfully emphasized eyes and eyebrows while removing wrinkles, generating more beautiful facial images. A new synthesis method mitigated noise at image synthesis, though improvement in skin color detection accuracy remains for future study.
研究不足
Image quality degradation occurs at the skin color/non-skin color boundary according to the skin color detection accuracy. Higher accuracy in skin color detection is required than in the previous method.
1：Experimental Design and Method Selection:
The study employs a super-resolution technique combined with facial-correction processing for facial images. The method involves separating the facial image into skin and non-skin parts, applying super-resolution to non-skin parts, and facial correction to skin parts using non-linear filters and HSV color conversion.
2：Sample Selection and Data Sources:
Facial images are used as samples, with selection criteria based on the need for high-quality images.
3：List of Experimental Equipment and Materials:
Not explicitly mentioned.
4：Experimental Procedures and Operational Workflow:
The process includes skin color detection using the HSV model, application of non-linear filters for facial correction, and synthesis of processed parts to obtain a final image.
5：Data Analysis Methods:
The effectiveness of the proposed method is evaluated through experimental results showing the quality of super-resolution and facial-corrected images.
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