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When compressive sensing meets data hiding

Hua, Guang, Xiang, Yong and Bi, Guoan 2016, When compressive sensing meets data hiding, IEEE signal processing letters, vol. 23, no. 4, pp. 473-477, doi: 10.1109/LSP.2016.2536110.

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Title When compressive sensing meets data hiding
Author(s) Hua, Guang
Xiang, Yong
Bi, Guoan
Journal name IEEE signal processing letters
Volume number 23
Issue number 4
Start page 473
End page 477
Total pages 5
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2016-04
ISSN 1070-9908
1558-2361
Keyword(s) compressive sensing
data hiding
sparsity
watermarking
Summary Personal use is permitted.We present a novel framework of performing multimedia data hiding using an over-complete dictionary, which brings compressive sensing to the application of data hiding. Unlike the conventional orthonormal full-space dictionary, the over-complete dictionary produces an underdetermined system with infinite transform results. We first discuss the minimum norm formulation (ℓ2-norm) which yields a closed-form solution and the concept of watermark projection, so that higher embedding capacity and an additional privacy preserving feature can be obtained. Furthermore, we study the sparse formulation (ℓ0-norm) and illustrate that as long as the ℓ0-norm of the sparse representation of the host signal is less than the signal's dimension in the original domain, an informed sparse domain data hiding system can be established by modifying the coefficients of the atoms that have not participated in representing the host signal. A single support modification-based data hiding system is then proposed and analyzed as an example. Several potential research directions are discussed for further studies. More generally, apart from the ℓ2 and ℓ0-norm constraints, other conditions for reliable detection performance are worth of future investigation.
Language eng
DOI 10.1109/LSP.2016.2536110
Field of Research 080106 Image Processing
0906 Electrical And Electronic Engineering
Socio Economic Objective 890404 Publishing and Print Services (incl. Internet Publishing)
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30083006

Document type: Journal Article
Collection: School of Information Technology
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Created: Thu, 28 Jul 2016, 11:50:33 EST

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