{"title":"一种基于丢失像素局部区域与相邻区域相似性的丢失像素图像恢复方法","authors":"H. Imamura, M. Fujimura, H. Kuroda","doi":"10.1109/ISCIT.2008.4700213","DOIUrl":null,"url":null,"abstract":"In the field of image restoration of unnecessary regions, a method based on optical flow has been proposed. This method can accurately restore unnecessary regions in case of changing of edge direction or of plural edges in unnecessary regions. However, when continuity of intensity between a pixel in unnecessary regions and its neighboring pixels is not satisfied, the method can not accurately restore unnecessary regions. In this paper, to solve the problem, we propose a method based on similarity between a local region and a neighboring region of a lost in unnecessary regions.","PeriodicalId":215340,"journal":{"name":"2008 International Symposium on Communications and Information Technologies","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Restoration Method for Images Including Lost Pixels based on A Similarity between A Local Region and A Neighbor Region of A Lost Pixel\",\"authors\":\"H. Imamura, M. Fujimura, H. Kuroda\",\"doi\":\"10.1109/ISCIT.2008.4700213\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the field of image restoration of unnecessary regions, a method based on optical flow has been proposed. This method can accurately restore unnecessary regions in case of changing of edge direction or of plural edges in unnecessary regions. However, when continuity of intensity between a pixel in unnecessary regions and its neighboring pixels is not satisfied, the method can not accurately restore unnecessary regions. In this paper, to solve the problem, we propose a method based on similarity between a local region and a neighboring region of a lost in unnecessary regions.\",\"PeriodicalId\":215340,\"journal\":{\"name\":\"2008 International Symposium on Communications and Information Technologies\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Symposium on Communications and Information Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCIT.2008.4700213\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Symposium on Communications and Information Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCIT.2008.4700213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Restoration Method for Images Including Lost Pixels based on A Similarity between A Local Region and A Neighbor Region of A Lost Pixel
In the field of image restoration of unnecessary regions, a method based on optical flow has been proposed. This method can accurately restore unnecessary regions in case of changing of edge direction or of plural edges in unnecessary regions. However, when continuity of intensity between a pixel in unnecessary regions and its neighboring pixels is not satisfied, the method can not accurately restore unnecessary regions. In this paper, to solve the problem, we propose a method based on similarity between a local region and a neighboring region of a lost in unnecessary regions.
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