{"title":"感知归一化子带图像恢复","authors":"Zhuoer Shi, G. Wei, D. Kouri, D. Hoffman","doi":"10.1109/TFSA.1998.721463","DOIUrl":null,"url":null,"abstract":"A perceptual normalized image restoration method is proposed to account for the response sensitivity of the human vision system. A special weighting matrix is introduced to remove perceptual redundancy and achieve excellent visual performance. Our algorithm is based on a biorthogonal interpolating wavelet transform and corresponding filters are generated using Gaussian-Lagrange distributed approximating functionals (DAFs) via a lifting scheme.","PeriodicalId":395542,"journal":{"name":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Perceptual normalized subband image restoration\",\"authors\":\"Zhuoer Shi, G. Wei, D. Kouri, D. Hoffman\",\"doi\":\"10.1109/TFSA.1998.721463\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A perceptual normalized image restoration method is proposed to account for the response sensitivity of the human vision system. A special weighting matrix is introduced to remove perceptual redundancy and achieve excellent visual performance. Our algorithm is based on a biorthogonal interpolating wavelet transform and corresponding filters are generated using Gaussian-Lagrange distributed approximating functionals (DAFs) via a lifting scheme.\",\"PeriodicalId\":395542,\"journal\":{\"name\":\"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TFSA.1998.721463\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis (Cat. No.98TH8380)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TFSA.1998.721463","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A perceptual normalized image restoration method is proposed to account for the response sensitivity of the human vision system. A special weighting matrix is introduced to remove perceptual redundancy and achieve excellent visual performance. Our algorithm is based on a biorthogonal interpolating wavelet transform and corresponding filters are generated using Gaussian-Lagrange distributed approximating functionals (DAFs) via a lifting scheme.