{"title":"基于分布式源编码的灰度和彩色图像的加密和无损压缩","authors":"Arun Kumar, A. Makur","doi":"10.1109/MMSP.2008.4665176","DOIUrl":null,"url":null,"abstract":"Compression of encrypted data is possible by using distributed source coding. In this paper, we consider the encryption, followed by lossless compression of gray scale and color images. We propose to apply encryption on the prediction errors instead of directly applying on the images and use distributed source coding for compressing the cipher texts. The simulation results show that by using the proposed technique comparable compression gains, with compression ratios varying from 1.5 to 2.5 can be achieved despite encryption.","PeriodicalId":402287,"journal":{"name":"2008 IEEE 10th Workshop on Multimedia Signal Processing","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"60","resultStr":"{\"title\":\"Distributed source coding based encryption and lossless compression of gray scale and color images\",\"authors\":\"Arun Kumar, A. Makur\",\"doi\":\"10.1109/MMSP.2008.4665176\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Compression of encrypted data is possible by using distributed source coding. In this paper, we consider the encryption, followed by lossless compression of gray scale and color images. We propose to apply encryption on the prediction errors instead of directly applying on the images and use distributed source coding for compressing the cipher texts. The simulation results show that by using the proposed technique comparable compression gains, with compression ratios varying from 1.5 to 2.5 can be achieved despite encryption.\",\"PeriodicalId\":402287,\"journal\":{\"name\":\"2008 IEEE 10th Workshop on Multimedia Signal Processing\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"60\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE 10th Workshop on Multimedia Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MMSP.2008.4665176\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE 10th Workshop on Multimedia Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MMSP.2008.4665176","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distributed source coding based encryption and lossless compression of gray scale and color images
Compression of encrypted data is possible by using distributed source coding. In this paper, we consider the encryption, followed by lossless compression of gray scale and color images. We propose to apply encryption on the prediction errors instead of directly applying on the images and use distributed source coding for compressing the cipher texts. The simulation results show that by using the proposed technique comparable compression gains, with compression ratios varying from 1.5 to 2.5 can be achieved despite encryption.