{"title":"基于算术视觉修剪的数字医学乳房x线图像感知无损编码","authors":"David Wu, D. Tan, Henry Wu, D. Tan, Hong Ren Wu","doi":"10.1109/ISPACS.2006.364794","DOIUrl":null,"url":null,"abstract":"A method of encoding digital medical mammograms is presented in this paper. Based on the JPEG2000 coding framework and embedded with an advanced perceptual distortion measure, the proposed coder identifies and removes visually insignificant/irrelevant information, so as to achieve perceptually lossless quality. Compared with the state-of-the-art JPEG compliant LOCO lossless coder and JPEG2000 lossless coder, current results have shown compression ratio gains in bit-rate without any loss of visual fidelity","PeriodicalId":178644,"journal":{"name":"2006 International Symposium on Intelligent Signal Processing and Communications","volume":"87 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Perceptually Lossless Image Coding of Digital Medical Mammograms with Arithmetic Visual Pruning\",\"authors\":\"David Wu, D. Tan, Henry Wu, D. Tan, Hong Ren Wu\",\"doi\":\"10.1109/ISPACS.2006.364794\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method of encoding digital medical mammograms is presented in this paper. Based on the JPEG2000 coding framework and embedded with an advanced perceptual distortion measure, the proposed coder identifies and removes visually insignificant/irrelevant information, so as to achieve perceptually lossless quality. Compared with the state-of-the-art JPEG compliant LOCO lossless coder and JPEG2000 lossless coder, current results have shown compression ratio gains in bit-rate without any loss of visual fidelity\",\"PeriodicalId\":178644,\"journal\":{\"name\":\"2006 International Symposium on Intelligent Signal Processing and Communications\",\"volume\":\"87 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 International Symposium on Intelligent Signal Processing and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISPACS.2006.364794\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Symposium on Intelligent Signal Processing and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPACS.2006.364794","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Perceptually Lossless Image Coding of Digital Medical Mammograms with Arithmetic Visual Pruning
A method of encoding digital medical mammograms is presented in this paper. Based on the JPEG2000 coding framework and embedded with an advanced perceptual distortion measure, the proposed coder identifies and removes visually insignificant/irrelevant information, so as to achieve perceptually lossless quality. Compared with the state-of-the-art JPEG compliant LOCO lossless coder and JPEG2000 lossless coder, current results have shown compression ratio gains in bit-rate without any loss of visual fidelity