Photo defect detection for image inpainting

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Title:	Photo defect detection for image inpainting
Authors:	Chang, Rong-chi;Sie, Yun-Long;Chou, Su-mei;施國琛;Shih, Timothy K.
Contributors:	淡江大學資訊工程學系
Keywords:	image inpainting;defect detection;structural features;image processing;image restoration
Date:	2005-12-12
Issue Date:	2010-04-15 09:37:42 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers (IEEE)
Abstract:	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.
Relation:	Multimedia, Seventh IEEE International Symposium on, pp.403-407
DOI:	10.1109/ISM.2005.91
Appears in Collections:	[Graduate Institute & Department of Computer Science and Information Engineering] Proceeding

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