{"title":"子带编码中的频谱外推","authors":"C. Cafforio, E. Sciascio, C. Guaragnella","doi":"10.1109/DSPWS.1996.555448","DOIUrl":null,"url":null,"abstract":"We examine how feasible it is to extrapolate high-pass terms from the low-pass sub-image obtained by sub-band decomposition. Only very simple techniques like morphological filtering and contours extraction have been considered at this first stage, attempting to synthesize from the low-pass sub-image the attenuated transitions. The results point out that there is room for further investigation and improvements.","PeriodicalId":131323,"journal":{"name":"1996 IEEE Digital Signal Processing Workshop Proceedings","volume":"8 5","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Spectral extrapolation in sub-band coding\",\"authors\":\"C. Cafforio, E. Sciascio, C. Guaragnella\",\"doi\":\"10.1109/DSPWS.1996.555448\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We examine how feasible it is to extrapolate high-pass terms from the low-pass sub-image obtained by sub-band decomposition. Only very simple techniques like morphological filtering and contours extraction have been considered at this first stage, attempting to synthesize from the low-pass sub-image the attenuated transitions. The results point out that there is room for further investigation and improvements.\",\"PeriodicalId\":131323,\"journal\":{\"name\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"volume\":\"8 5\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 IEEE Digital Signal Processing Workshop Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSPWS.1996.555448\",\"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 IEEE Digital Signal Processing Workshop Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSPWS.1996.555448","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We examine how feasible it is to extrapolate high-pass terms from the low-pass sub-image obtained by sub-band decomposition. Only very simple techniques like morphological filtering and contours extraction have been considered at this first stage, attempting to synthesize from the low-pass sub-image the attenuated transitions. The results point out that there is room for further investigation and improvements.
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