{"title":"利用超解析小波包变换估计图像的方向平滑度","authors":"C. Nafornita, A. Isar","doi":"10.1109/ISSCS.2013.6651191","DOIUrl":null,"url":null,"abstract":"We propose a method for the estimation of smoothness on the preferential orientations of an anisotropic image. The method associates the utilization of the Hyperanalytic Wavelet Packet Transform, for the identification of the preferential orientations of the image considered and for the separation of the details corresponding at each such direction, with the utilization of a Hurst exponent estimator for the evaluation of smoothness.","PeriodicalId":260263,"journal":{"name":"International Symposium on Signals, Circuits and Systems ISSCS2013","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Estimating directional smoothness of images with the aid of the hyperanalytic wavelet packet transform\",\"authors\":\"C. Nafornita, A. Isar\",\"doi\":\"10.1109/ISSCS.2013.6651191\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We propose a method for the estimation of smoothness on the preferential orientations of an anisotropic image. The method associates the utilization of the Hyperanalytic Wavelet Packet Transform, for the identification of the preferential orientations of the image considered and for the separation of the details corresponding at each such direction, with the utilization of a Hurst exponent estimator for the evaluation of smoothness.\",\"PeriodicalId\":260263,\"journal\":{\"name\":\"International Symposium on Signals, Circuits and Systems ISSCS2013\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Symposium on Signals, Circuits and Systems ISSCS2013\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCS.2013.6651191\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Signals, Circuits and Systems ISSCS2013","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCS.2013.6651191","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Estimating directional smoothness of images with the aid of the hyperanalytic wavelet packet transform
We propose a method for the estimation of smoothness on the preferential orientations of an anisotropic image. The method associates the utilization of the Hyperanalytic Wavelet Packet Transform, for the identification of the preferential orientations of the image considered and for the separation of the details corresponding at each such direction, with the utilization of a Hurst exponent estimator for the evaluation of smoothness.
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