淡江大學機構典藏:Item 987654321/37397
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    题名: Photo defect detection for image inpainting
    作者: Chang, Rong-chi;Sie, Yun-Long;Chou, Su-mei;施國琛;Shih, Timothy K.
    贡献者: 淡江大學資訊工程學系
    关键词: image inpainting;defect detection;structural features;image processing;image restoration
    日期: 2005-12-12
    上传时间: 2010-04-15 09:37:42 (UTC+8)
    出版者: Institute of Electrical and Electronics Engineers (IEEE)
    摘要: Image inpainting (or image completion) techniques use textural or structural information to repair or fill damaged portion of a picture. However, most techniques request a human to identify the portion to be inpainted. We developed a new mechanism which can automatically detect defect portions in a photo, including damages by color ink spray and scratch drawing. The mechanism is based on several filters and structural information of damages. Old photos from the author's family are used for testing. Preliminary results show that most damages can be automatically detected without human involvement. The mechanism is integrated with our inpainting algorithms to complete a fully automatic photo defects repairing system.
    關聯: Multimedia, Seventh IEEE International Symposium on, pp.403-407
    DOI: 10.1109/ISM.2005.91
    显示于类别:[資訊工程學系暨研究所] 會議論文

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