{"title":"基于舍入变换的无损子带编码方法","authors":"Ho-Youl Jung, R. Prost","doi":"10.1109/ICIP.1997.638741","DOIUrl":null,"url":null,"abstract":"In this paper, a new approach is proposed, the rounding transform (RT) based lossless subband coding. For the such purpose, an extended version of RT, namely overlapping RT (ORT), is defined in the Z-transform domain and used to develop the lossless subband coding system. The main idea is that the polyphase matrix of the analysis filter bank is decomposed into several ORT matrices of size 2 by 2. Compared to the previous scheme (the lifting), the proposed scheme gives not only simpler mathematical representation, but also allows various possibilities when a given filter bank is implemented. As examples, five filter banks are applied to lossless image compression by the proposed ORT and their performances are compared in terms of the total lossless first order entropy.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"10 1","pages":"274-277 vol.2"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Rounding transform based approach for lossless subband coding\",\"authors\":\"Ho-Youl Jung, R. Prost\",\"doi\":\"10.1109/ICIP.1997.638741\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a new approach is proposed, the rounding transform (RT) based lossless subband coding. For the such purpose, an extended version of RT, namely overlapping RT (ORT), is defined in the Z-transform domain and used to develop the lossless subband coding system. The main idea is that the polyphase matrix of the analysis filter bank is decomposed into several ORT matrices of size 2 by 2. Compared to the previous scheme (the lifting), the proposed scheme gives not only simpler mathematical representation, but also allows various possibilities when a given filter bank is implemented. As examples, five filter banks are applied to lossless image compression by the proposed ORT and their performances are compared in terms of the total lossless first order entropy.\",\"PeriodicalId\":92344,\"journal\":{\"name\":\"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing\",\"volume\":\"10 1\",\"pages\":\"274-277 vol.2\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-10-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.1997.638741\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.1997.638741","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Rounding transform based approach for lossless subband coding
In this paper, a new approach is proposed, the rounding transform (RT) based lossless subband coding. For the such purpose, an extended version of RT, namely overlapping RT (ORT), is defined in the Z-transform domain and used to develop the lossless subband coding system. The main idea is that the polyphase matrix of the analysis filter bank is decomposed into several ORT matrices of size 2 by 2. Compared to the previous scheme (the lifting), the proposed scheme gives not only simpler mathematical representation, but also allows various possibilities when a given filter bank is implemented. As examples, five filter banks are applied to lossless image compression by the proposed ORT and their performances are compared in terms of the total lossless first order entropy.