{"title":"基于对称的空间域三维医学图像感知无损压缩","authors":"B. Chandrika, P. Aparna, D. S. Sumam","doi":"10.1109/I4CT.2014.6914144","DOIUrl":null,"url":null,"abstract":"A perceptual model developed in spatial domain based on background luminance is combined with lossless compression frame work to remove visually redundant information. Block matching is applied on anatomical symmetry present in medical images to remove intra slice and inter slice correlations. The obtained results show better compression gains against lossless compression techniques, without any degradation in visual quality.","PeriodicalId":356190,"journal":{"name":"2014 International Conference on Computer, Communications, and Control Technology (I4CT)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Symmetry based perceptually lossless compression of 3D medical images in spatial domain\",\"authors\":\"B. Chandrika, P. Aparna, D. S. Sumam\",\"doi\":\"10.1109/I4CT.2014.6914144\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A perceptual model developed in spatial domain based on background luminance is combined with lossless compression frame work to remove visually redundant information. Block matching is applied on anatomical symmetry present in medical images to remove intra slice and inter slice correlations. The obtained results show better compression gains against lossless compression techniques, without any degradation in visual quality.\",\"PeriodicalId\":356190,\"journal\":{\"name\":\"2014 International Conference on Computer, Communications, and Control Technology (I4CT)\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Computer, Communications, and Control Technology (I4CT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/I4CT.2014.6914144\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Computer, Communications, and Control Technology (I4CT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/I4CT.2014.6914144","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Symmetry based perceptually lossless compression of 3D medical images in spatial domain
A perceptual model developed in spatial domain based on background luminance is combined with lossless compression frame work to remove visually redundant information. Block matching is applied on anatomical symmetry present in medical images to remove intra slice and inter slice correlations. The obtained results show better compression gains against lossless compression techniques, without any degradation in visual quality.