{"title":"利用高效非局部先验的超分辨率","authors":"Shuai Chen, Bin Chen, Yi-bao He","doi":"10.1109/ISCC-C.2013.131","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a novel approach for multiframe super-resolution reconstruction by incorporating non-local prior in the maximum a posteriori (MAP) formulation. This prior expresses that recovered images tend to exhibit repetitive structures. A great deal of computation is required in the original non-local prior algorithm dealing with the huge amount of weight calculations. Techniques of weight symmetry, moving averaging filter, limited search window are adopted to speed up non-local filter. Meanwhile, Non-Linear Conjugated Gradient (NLCG) method is introduced to solve simultaneously the high-resolution (HR) image of optimization process and non-local prior adapted to the HR image. Experimental results on extensive synthetic and realistic images demonstrate the superiority of the proposed algorithm to representative algorithms both quantitatively and qualitatively.","PeriodicalId":313511,"journal":{"name":"2013 International Conference on Information Science and Cloud Computing Companion","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Super-Resolution Employing an Efficient Nonlocal Prior\",\"authors\":\"Shuai Chen, Bin Chen, Yi-bao He\",\"doi\":\"10.1109/ISCC-C.2013.131\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a novel approach for multiframe super-resolution reconstruction by incorporating non-local prior in the maximum a posteriori (MAP) formulation. This prior expresses that recovered images tend to exhibit repetitive structures. A great deal of computation is required in the original non-local prior algorithm dealing with the huge amount of weight calculations. Techniques of weight symmetry, moving averaging filter, limited search window are adopted to speed up non-local filter. Meanwhile, Non-Linear Conjugated Gradient (NLCG) method is introduced to solve simultaneously the high-resolution (HR) image of optimization process and non-local prior adapted to the HR image. Experimental results on extensive synthetic and realistic images demonstrate the superiority of the proposed algorithm to representative algorithms both quantitatively and qualitatively.\",\"PeriodicalId\":313511,\"journal\":{\"name\":\"2013 International Conference on Information Science and Cloud Computing Companion\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Conference on Information Science and Cloud Computing Companion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCC-C.2013.131\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Conference on Information Science and Cloud Computing Companion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCC-C.2013.131","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Super-Resolution Employing an Efficient Nonlocal Prior
In this paper, we propose a novel approach for multiframe super-resolution reconstruction by incorporating non-local prior in the maximum a posteriori (MAP) formulation. This prior expresses that recovered images tend to exhibit repetitive structures. A great deal of computation is required in the original non-local prior algorithm dealing with the huge amount of weight calculations. Techniques of weight symmetry, moving averaging filter, limited search window are adopted to speed up non-local filter. Meanwhile, Non-Linear Conjugated Gradient (NLCG) method is introduced to solve simultaneously the high-resolution (HR) image of optimization process and non-local prior adapted to the HR image. Experimental results on extensive synthetic and realistic images demonstrate the superiority of the proposed algorithm to representative algorithms both quantitatively and qualitatively.