@inproceedings{f2246816e8544293ab973fcf907f29bf,
title = "Compressive Sensing Image Steganography via Directional Lifting Wavelet Transform",
abstract = "This paper proposes a deep-based compressive sensing (CS) image steganography scheme that inserts the plain image into the directional lifting wavelet transform (DLWT) domain of the carrier image. For the data hiding processing, we exploit two logistic maps to create the measurement matrix and simulated noise respectively, which are used to randomly under-sample and diffuse the plain image to obtain the secret image. Then, we employ singular value decomposition (SVD) to embed the secret image into the DLWT domain of the carrier image, which generates the meaningful stego image. For the data extraction, we introduce the deep-based CS reconstruction algorithm to enhance the quality of the reconstructed image. Experimental results show that the proposed approach maintains security while achieving a high quality of the stego image and the reconstructed image.",
keywords = "Compressive sensing, DLWT, Image steganography",
author = "Zan Chen and Chaocheng Ma and Yuanjing Feng and Xingsong Hou",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 23rd International Conference on Information and Communications Security, ICICS 2021 ; Conference date: 19-11-2021 Through 21-11-2021",
year = "2021",
doi = "10.1007/978-3-030-88052-1\_6",
language = "英语",
isbn = "9783030880514",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "93--109",
editor = "Debin Gao and Qi Li and Xiaohong Guan and Xiaofeng Liao",
booktitle = "Information and Communications Security - 23rd International Conference, ICICS 2021, Proceedings",
}