Curvelet transform and cover selection for secure steganography

In this paper, we present curvelet transform (CT) based image steganography that embeds scrambled secret image in appropriately selected cover image. Curvelet transform offers optimal nonadaptive sparse representation of objects with edges and possesses high directional sensitivity and anisotropy. C...

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Bibliographic Details
Published in:Multimedia tools and applications 2018-04, Vol.77 (7), p.8115-8138
Main Authors: Subhedar, Mansi S., Mankar, Vijay H.
Format: Article
Language:English
Subjects:
Algorithms
Communication
Computed tomography
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Directional sensitivity
Embedding
Fuzzy logic
Fuzzy sets
Methods
Multimedia Information Systems
Object recognition
Performance evaluation
Spatial data
Special Purpose and Application-Based Systems
Steganography
Transformations (mathematics)
Wavelet transforms
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Summary:In this paper, we present curvelet transform (CT) based image steganography that embeds scrambled secret image in appropriately selected cover image. Curvelet transform offers optimal nonadaptive sparse representation of objects with edges and possesses high directional sensitivity and anisotropy. Cover image is decomposed using curvelet transform and adaptive block based embedding is carried out only in non-uniform regions of high frequency curvelet coefficients. In addition, this work also demonstrates a new cover selection method to choose suitable cover from image database. Spatial information based image complexity is modelled using fuzzy logic to identify set of images that yields least detectable stego image. From this set of ranked images, best cover can be chosen for carrying secret information depending on amount of information to be embedded. Cover selection offers reduced risk of detectability and ensures security. It is evident from experimental results that proposed method outperforms conventional methods in terms of imperceptibility, robustness and security.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-017-4706-x