{"title":"一种基于比特级改进阿诺德变换和超混沌映射的图像加密算法","authors":"Zhengchao Ni, Xuejing Kang, Lei Wang","doi":"10.1109/SIPROCESS.2016.7888243","DOIUrl":null,"url":null,"abstract":"In this paper, a novel image encryption algorithm based on bit-level Arnold transform and hyper chaotic maps is proposed. To commence, the scheme decomposes the original grayscale image into 8 binary images. Then we use chaos to generate sequences to shift the images before manipulating Arnold transform. Finally, the hyper chaotic map is adopted to produce pseudorandom sequences to diffuse the binary images. The computational simulations have proved that the proposed algorithm is effective for image encryption.","PeriodicalId":142802,"journal":{"name":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","volume":"95 23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"A novel image encryption algorithm based on bit-level improved Arnold transform and hyper chaotic map\",\"authors\":\"Zhengchao Ni, Xuejing Kang, Lei Wang\",\"doi\":\"10.1109/SIPROCESS.2016.7888243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a novel image encryption algorithm based on bit-level Arnold transform and hyper chaotic maps is proposed. To commence, the scheme decomposes the original grayscale image into 8 binary images. Then we use chaos to generate sequences to shift the images before manipulating Arnold transform. Finally, the hyper chaotic map is adopted to produce pseudorandom sequences to diffuse the binary images. The computational simulations have proved that the proposed algorithm is effective for image encryption.\",\"PeriodicalId\":142802,\"journal\":{\"name\":\"2016 IEEE International Conference on Signal and Image Processing (ICSIP)\",\"volume\":\"95 23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Signal and Image Processing (ICSIP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIPROCESS.2016.7888243\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Signal and Image Processing (ICSIP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIPROCESS.2016.7888243","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel image encryption algorithm based on bit-level improved Arnold transform and hyper chaotic map
In this paper, a novel image encryption algorithm based on bit-level Arnold transform and hyper chaotic maps is proposed. To commence, the scheme decomposes the original grayscale image into 8 binary images. Then we use chaos to generate sequences to shift the images before manipulating Arnold transform. Finally, the hyper chaotic map is adopted to produce pseudorandom sequences to diffuse the binary images. The computational simulations have proved that the proposed algorithm is effective for image encryption.