{"title":"AM-FM扩展图像","authors":"M. Pattichis, A. Bovik","doi":"10.5281/ZENODO.36115","DOIUrl":null,"url":null,"abstract":"In this paper we present a novel method for computing AM-FM expansions for images. Given an image, we show how to compute an appropriate AM-FM representation. We also describe a general class of functions for which this approach gives the best results. Then, we compute the AM-FM representation on a real-life texture, and show that it has a compact AM-FM spectrum.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"AM-FM expansions for images\",\"authors\":\"M. Pattichis, A. Bovik\",\"doi\":\"10.5281/ZENODO.36115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we present a novel method for computing AM-FM expansions for images. Given an image, we show how to compute an appropriate AM-FM representation. We also describe a general class of functions for which this approach gives the best results. Then, we compute the AM-FM representation on a real-life texture, and show that it has a compact AM-FM spectrum.\",\"PeriodicalId\":282153,\"journal\":{\"name\":\"1996 8th European Signal Processing Conference (EUSIPCO 1996)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 8th European Signal Processing Conference (EUSIPCO 1996)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.36115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.36115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper we present a novel method for computing AM-FM expansions for images. Given an image, we show how to compute an appropriate AM-FM representation. We also describe a general class of functions for which this approach gives the best results. Then, we compute the AM-FM representation on a real-life texture, and show that it has a compact AM-FM spectrum.
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