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2018 | OriginalPaper | Chapter

A Reversible Data Hiding Scheme Using Compressive Sensing and Random Embedding

Authors : Guo-Liang Xie, Hui-Min Zhao, Ju-Jian Lv, Can-Yao Li

Published in: Advances in Brain Inspired Cognitive Systems

Publisher: Springer International Publishing

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Abstract

Steganography is a kind of technique which hides data under the cover file so as not to arouse any suspicion. In this paper, a new image steganography algorithm combining compressive sensing (CS) and random embedding is proposed. There are two security parts in this algorithm. The first part is the random projection inherited from CS, and the second is the random embedding process. CS serves to create the encrypted data, and acts as a tool to reduce the dimensionality of the secret data. Random-embedding algorithm is proposed to choose the position of cover image randomly for hiding the secret image. This algorithm uses symmetric key method, which means the sender and the receiver use the same key. Numerical experiments show that this steganography algorithm provides high embedding capacity and high Peak Signal Noise Ratio (PSNR).

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Metadata
Title
A Reversible Data Hiding Scheme Using Compressive Sensing and Random Embedding
Authors
Guo-Liang Xie
Hui-Min Zhao
Ju-Jian Lv
Can-Yao Li
Copyright Year
2018
Book
Advances in Brain Inspired Cognitive Systems

Print ISBN: 978-3-030-00562-7

Electronic ISBN: 978-3-030-00563-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-00563-4_51

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