{"title":"基于f1变换的基于Patch的补图方法","authors":"Pavel Vlasánek, I. Perfilieva","doi":"10.1109/SOCPAR.2015.7492813","DOIUrl":null,"url":null,"abstract":"We propose to solve the problem of image inpainting with the technique of the F-transforms, especially of the zero and first degrees. We are focused on the so called patch inpainting. The proposed technique creates a feature vector of an image characterizing weighted average levels of the corresponding intensity function and its partial derivatives over certain areas. The results of the proposed algorithm are demonstrated on various patch sizes and the issue of a reconstruction quality is discussed.","PeriodicalId":409493,"journal":{"name":"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Patch based inpainting method based on the F1-transform\",\"authors\":\"Pavel Vlasánek, I. Perfilieva\",\"doi\":\"10.1109/SOCPAR.2015.7492813\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose to solve the problem of image inpainting with the technique of the F-transforms, especially of the zero and first degrees. We are focused on the so called patch inpainting. The proposed technique creates a feature vector of an image characterizing weighted average levels of the corresponding intensity function and its partial derivatives over certain areas. The results of the proposed algorithm are demonstrated on various patch sizes and the issue of a reconstruction quality is discussed.\",\"PeriodicalId\":409493,\"journal\":{\"name\":\"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOCPAR.2015.7492813\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOCPAR.2015.7492813","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Patch based inpainting method based on the F1-transform
We propose to solve the problem of image inpainting with the technique of the F-transforms, especially of the zero and first degrees. We are focused on the so called patch inpainting. The proposed technique creates a feature vector of an image characterizing weighted average levels of the corresponding intensity function and its partial derivatives over certain areas. The results of the proposed algorithm are demonstrated on various patch sizes and the issue of a reconstruction quality is discussed.