Automatic Detection and Correction Methods for Glossy Reflections in Digital Image

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题名:	Automatic Detection and Correction Methods for Glossy Reflections in Digital Image
作者:	Tseng,Fei Chun
贡献者:	Department of Media and Design
关键词:	Skin Color Identification;Face Detection;Glossy Reflections;Image Inpainting
日期:	2009
上传时间:	2009-11-06 05:08:23 (UTC+0)
出版者:	Asia University
摘要:	Digital photography has become so popular in recent years. For most people, it is also a most convenient way of recording images. However, the intensity of ambient light often causes the highlight of facial region which making the serious destruction of digital photos. By using the automatic patching method, this paper aims to provide the effective solutions of removing the glossy reflections from human face. The proposed method employs the YCbCr color space to limit the skin color scope and to detect the glossy reflections area. The process of detecting the glossy reflection makes the precise comparison with the gray scale value of structuring element. If the average intensity is larger than the target threshold value, the detection will seek the available information around the target area to make the repair. Based on the results of this study, the digital photo becomes more natural and beautiful after repairing.
显示于类别:	[數位媒體設計學系] 博碩士論文

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