{"title":"基于Curvelet变换的图像去噪","authors":"Qiaoling Yi, Yu Weng, Jiayong He","doi":"10.1109/IWECA.2014.6845644","DOIUrl":null,"url":null,"abstract":"The Curvelet transform is a new transform for image processing which has being developed for last years. It makes the line as a basic cell for transforming, so it is able to represent smooth and edge parts of image with sparsity. Curvelet transform can provide stable, efficient, and near-optimal representation of otherwise smooth objects discontinuities along smooth curves. It is a multiscale transform which is more adapt to the image processing after wavelet transform.","PeriodicalId":383024,"journal":{"name":"2014 IEEE Workshop on Electronics, Computer and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Image denoise based on Curvelet transform\",\"authors\":\"Qiaoling Yi, Yu Weng, Jiayong He\",\"doi\":\"10.1109/IWECA.2014.6845644\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Curvelet transform is a new transform for image processing which has being developed for last years. It makes the line as a basic cell for transforming, so it is able to represent smooth and edge parts of image with sparsity. Curvelet transform can provide stable, efficient, and near-optimal representation of otherwise smooth objects discontinuities along smooth curves. It is a multiscale transform which is more adapt to the image processing after wavelet transform.\",\"PeriodicalId\":383024,\"journal\":{\"name\":\"2014 IEEE Workshop on Electronics, Computer and Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-05-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Workshop on Electronics, Computer and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWECA.2014.6845644\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Workshop on Electronics, Computer and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWECA.2014.6845644","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Curvelet transform is a new transform for image processing which has being developed for last years. It makes the line as a basic cell for transforming, so it is able to represent smooth and edge parts of image with sparsity. Curvelet transform can provide stable, efficient, and near-optimal representation of otherwise smooth objects discontinuities along smooth curves. It is a multiscale transform which is more adapt to the image processing after wavelet transform.
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