Xiaojun Tong, Xilin Liu, Tao Pan, Miao Zhang, Zhu Wang
{"title":"基于保守超混沌系统和优化压缩传感的视觉意义安全图像加密算法","authors":"Xiaojun Tong, Xilin Liu, Tao Pan, Miao Zhang, Zhu Wang","doi":"10.1007/s00530-024-01370-4","DOIUrl":null,"url":null,"abstract":"<p>Aiming at the traditional schemes for encrypting and transmitting images can be subject to arbitrary destruction by attackers, making it difficult for algorithms with poor robustness to recover the original image, this paper proposes a new visually image encryption algorithm, which can embed the compressed and encrypted image into a carrier image to achieve visual security, thus avoiding destruction and attacks. Foremost, a new conservative hyperchaotic system without attractors was constructed that can resist reconstruction attacks. Secondly, a two-dimensional (2D) compressed sensing technique is adopted, and the pseudo random sequences of the proposed chaotic system generates a measurement matrix in compressed sensing, and optimizes this matrix to improve the visual quality of image reconstruction. Finally, by combining discrete wavelet transform (DWT) and singular value decomposition (SVD) methods, the encrypted image is embedded into the carrier image to achieve the purpose of image compression, encryption, and hiding. And experimental results and comparative analysis demonstrate that this algorithm has high security, good image reconstruction quality, and strong imperceptibility after image embedding. Under limited bandwidth conditions, the algorithm achieves excellent visual security effects.</p>","PeriodicalId":51138,"journal":{"name":"Multimedia Systems","volume":"18 1","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A visually meaningful secure image encryption algorithm based on conservative hyperchaotic system and optimized compressed sensing\",\"authors\":\"Xiaojun Tong, Xilin Liu, Tao Pan, Miao Zhang, Zhu Wang\",\"doi\":\"10.1007/s00530-024-01370-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Aiming at the traditional schemes for encrypting and transmitting images can be subject to arbitrary destruction by attackers, making it difficult for algorithms with poor robustness to recover the original image, this paper proposes a new visually image encryption algorithm, which can embed the compressed and encrypted image into a carrier image to achieve visual security, thus avoiding destruction and attacks. Foremost, a new conservative hyperchaotic system without attractors was constructed that can resist reconstruction attacks. Secondly, a two-dimensional (2D) compressed sensing technique is adopted, and the pseudo random sequences of the proposed chaotic system generates a measurement matrix in compressed sensing, and optimizes this matrix to improve the visual quality of image reconstruction. Finally, by combining discrete wavelet transform (DWT) and singular value decomposition (SVD) methods, the encrypted image is embedded into the carrier image to achieve the purpose of image compression, encryption, and hiding. And experimental results and comparative analysis demonstrate that this algorithm has high security, good image reconstruction quality, and strong imperceptibility after image embedding. Under limited bandwidth conditions, the algorithm achieves excellent visual security effects.</p>\",\"PeriodicalId\":51138,\"journal\":{\"name\":\"Multimedia Systems\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2024-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Multimedia Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1007/s00530-024-01370-4\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Multimedia Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s00530-024-01370-4","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
A visually meaningful secure image encryption algorithm based on conservative hyperchaotic system and optimized compressed sensing
Aiming at the traditional schemes for encrypting and transmitting images can be subject to arbitrary destruction by attackers, making it difficult for algorithms with poor robustness to recover the original image, this paper proposes a new visually image encryption algorithm, which can embed the compressed and encrypted image into a carrier image to achieve visual security, thus avoiding destruction and attacks. Foremost, a new conservative hyperchaotic system without attractors was constructed that can resist reconstruction attacks. Secondly, a two-dimensional (2D) compressed sensing technique is adopted, and the pseudo random sequences of the proposed chaotic system generates a measurement matrix in compressed sensing, and optimizes this matrix to improve the visual quality of image reconstruction. Finally, by combining discrete wavelet transform (DWT) and singular value decomposition (SVD) methods, the encrypted image is embedded into the carrier image to achieve the purpose of image compression, encryption, and hiding. And experimental results and comparative analysis demonstrate that this algorithm has high security, good image reconstruction quality, and strong imperceptibility after image embedding. Under limited bandwidth conditions, the algorithm achieves excellent visual security effects.
期刊介绍:
This journal details innovative research ideas, emerging technologies, state-of-the-art methods and tools in all aspects of multimedia computing, communication, storage, and applications. It features theoretical, experimental, and survey articles.