Authors:
Jean-François Couchot
1
;
Raphaël Couturier
1
;
Yousra Ahmed Fadil
2
and
Christophe Guyeux
1
Affiliations:
1
FEMTO-ST Institute and University of Franche-Comté, France
;
2
FEMTO-ST Institute, University of Franche-Comté, College of Engineering and University of Diyala, France
Keyword(s):
Steganography, Information Hiding, Second Order Partial Derivative, Gradient, Steganalyse.
Related
Ontology
Subjects/Areas/Topics:
Information and Systems Security
;
Information Assurance
;
Information Hiding
Abstract:
Steganography schemes are designed with the objective of minimizing a defined distortion function. In most
existing state of the art approaches, this distortion function is based on image feature preservation. Since
smooth regions or clean edges define image core, even a small modification in these areas largely modifies
image features and is thus easily detectable. On the contrary, textures, noisy or chaotic regions are so difficult
to model that the features having been modified inside these areas are similar to the initial ones. These regions
are characterized by disturbed level curves. This work presents a new distortion function for steganography
that is based on second order derivatives, which are mathematical tools that usually evaluate level curves. Two
methods are explained to compute these partial derivatives and have been completely implemented. The first
experiments show that these approaches are promising.