{"title":"空间变化，自适应子带图像编码","authors":"V. Nuri, R. Bamberger","doi":"10.1109/ICIP.1996.560836","DOIUrl":null,"url":null,"abstract":"In this paper, the design and analysis of adaptive subband coders is discussed. Both the analysis/synthesis filters and quantizers of the subband coding system are adapted to exploit non-stationarities of the image data. These adaptive systems are designed so that theoretical coding gain (TCG) is maximized, thereby minimizing mean-squared-error. The relative merits of adapting various components of a subband codec are investigated.","PeriodicalId":192947,"journal":{"name":"Proceedings of 3rd IEEE International Conference on Image Processing","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Spatially-varying, adaptive subband image coding\",\"authors\":\"V. Nuri, R. Bamberger\",\"doi\":\"10.1109/ICIP.1996.560836\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the design and analysis of adaptive subband coders is discussed. Both the analysis/synthesis filters and quantizers of the subband coding system are adapted to exploit non-stationarities of the image data. These adaptive systems are designed so that theoretical coding gain (TCG) is maximized, thereby minimizing mean-squared-error. The relative merits of adapting various components of a subband codec are investigated.\",\"PeriodicalId\":192947,\"journal\":{\"name\":\"Proceedings of 3rd IEEE International Conference on Image Processing\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 3rd IEEE International Conference on Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.1996.560836\",\"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 3rd IEEE International Conference on Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.1996.560836","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In this paper, the design and analysis of adaptive subband coders is discussed. Both the analysis/synthesis filters and quantizers of the subband coding system are adapted to exploit non-stationarities of the image data. These adaptive systems are designed so that theoretical coding gain (TCG) is maximized, thereby minimizing mean-squared-error. The relative merits of adapting various components of a subband codec are investigated.
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