T. Shih, Rong-Chi Chang, Liang-Chen Lu, Wen-Chieh Ko, Chun-Chia Wang
{"title":"Adaptive digital image inpainting","authors":"T. Shih, Rong-Chi Chang, Liang-Chen Lu, Wen-Chieh Ko, Chun-Chia Wang","doi":"10.1109/AINA.2004.1283890","DOIUrl":null,"url":null,"abstract":"Digital image inpainting is a technique that can repair a portion of damaged or removed image by means of automatic mechanisms. Image inpainting tools can be applied to repairing damaged historical documents. In this paper, we propose an adaptive mechanism, which is based on a color interpolation mechanism. The repairing procedure checks the surrounding information of a damaged pixel and decides the range of references that can be used to compute an interpolated color. We have tested on more than 2000 images include painting, photo, and cartoon drawing. The evaluation shows that our mechanism produces a very good result.","PeriodicalId":186142,"journal":{"name":"18th International Conference on Advanced Information Networking and Applications, 2004. AINA 2004.","volume":"15 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"18th International Conference on Advanced Information Networking and Applications, 2004. AINA 2004.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AINA.2004.1283890","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 23
Abstract
Digital image inpainting is a technique that can repair a portion of damaged or removed image by means of automatic mechanisms. Image inpainting tools can be applied to repairing damaged historical documents. In this paper, we propose an adaptive mechanism, which is based on a color interpolation mechanism. The repairing procedure checks the surrounding information of a damaged pixel and decides the range of references that can be used to compute an interpolated color. We have tested on more than 2000 images include painting, photo, and cartoon drawing. The evaluation shows that our mechanism produces a very good result.