NDLI: Image steganography based on subsampling and compressive sensing

Content Provider	Springer Nature Link
Author	Pan, Jeng Shyang Li, Wei Yang, Chun Sheng Yan, Li Jun
Copyright Year	2014
Abstract	A new image steganography algorithm combining compressive sensing with subsampling is proposed, which can hide secret message into an innovative embedding domain. Considering that natural image tends to be compressible in a transform domain, the characteristics of compressive sensing (CS), dimensional reduction and random projection, are utilized to insert secret message into the compressive sensing transform domain of the sparse image and the measurement matrix which is generated by using a secret key is shared between sender and receiver. Then, stego-image is reconstructed approximately via Total Variation (TV) minimization algorithm. Through adopting different transform coefficients in sub-images gained by subsampling, high perceived quality of the stego-image can be guaranteed. Bit Correction Rate (BCR) between original secret message and extracted message are used to calculate the accuracy of this method. Numerical experiments show that this steganography algorithm has provided a novel data embedding domain and high security of information.
Starting Page	9191
Ending Page	9205
Page Count	15
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	74
Issue Number	21
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2014-06-21
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Steganography Compressive Sensing(CS) Subsampling Total variation Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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