{"title":"图像去模糊使用剪切","authors":"Amirhossein Firouzmanesh, P. Boulanger","doi":"10.1109/CRV.2012.30","DOIUrl":null,"url":null,"abstract":"In this paper a deblurring algorithm is proposed that takes advantage of the properties of the shear let transform. Shear lets have mathematically been proven to be more efficient than traditional wavelets for representing distributed discontinuities such as edges. The proposed method extends the state of art Forward algorithm by incorporating shear lets. Experimental results show a significant improvement over some important deblurring algorithms found in the literature.","PeriodicalId":372951,"journal":{"name":"2012 Ninth Conference on Computer and Robot Vision","volume":"69 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Image De-blurring Using Shearlets\",\"authors\":\"Amirhossein Firouzmanesh, P. Boulanger\",\"doi\":\"10.1109/CRV.2012.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper a deblurring algorithm is proposed that takes advantage of the properties of the shear let transform. Shear lets have mathematically been proven to be more efficient than traditional wavelets for representing distributed discontinuities such as edges. The proposed method extends the state of art Forward algorithm by incorporating shear lets. Experimental results show a significant improvement over some important deblurring algorithms found in the literature.\",\"PeriodicalId\":372951,\"journal\":{\"name\":\"2012 Ninth Conference on Computer and Robot Vision\",\"volume\":\"69 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Ninth Conference on Computer and Robot Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CRV.2012.30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Ninth Conference on Computer and Robot Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CRV.2012.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper a deblurring algorithm is proposed that takes advantage of the properties of the shear let transform. Shear lets have mathematically been proven to be more efficient than traditional wavelets for representing distributed discontinuities such as edges. The proposed method extends the state of art Forward algorithm by incorporating shear lets. Experimental results show a significant improvement over some important deblurring algorithms found in the literature.
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