{"title":"Diagnostically Lossless Compression-2 of Medical Images","authors":"R. Asraf, M. Akbar, N. Jafri","doi":"10.1109/DDHH.2006.1624789","DOIUrl":null,"url":null,"abstract":"A method is proposed for compression of medical images. The approach is called DLC2 (Diagnostically Lossless Compression-2). To get lossless effect, we use lossy coding followed by error image coding. An NNVQ (Neural Network Vector Quantizer) is used for lossy compression and Huffman coding is used to code the difference image losslessly. It is an spatial domain technique. No frequency domain transformations are required, this makes the proposed scheme simple and computationally economical. Proposed method can achieve higher compression ratios than existing standard lossless compression techniques and also meets the legal requirement of medical image archiving","PeriodicalId":164569,"journal":{"name":"1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, 2006. D2H2.","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, 2006. D2H2.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DDHH.2006.1624789","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
A method is proposed for compression of medical images. The approach is called DLC2 (Diagnostically Lossless Compression-2). To get lossless effect, we use lossy coding followed by error image coding. An NNVQ (Neural Network Vector Quantizer) is used for lossy compression and Huffman coding is used to code the difference image losslessly. It is an spatial domain technique. No frequency domain transformations are required, this makes the proposed scheme simple and computationally economical. Proposed method can achieve higher compression ratios than existing standard lossless compression techniques and also meets the legal requirement of medical image archiving
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