An Enhancement in Quality of image & AntiSteganalysis by Using Optimizing Image Steganography
Anuradha Kasande1,  A.A. Agarkar2
1Anuradha Kasande,  Sun Paradise-II, Vadgaon, Pune, (Maharashtra), India.
2A.A. Agarkar,  Sun Paradise-II, Vadgaon, Pune, (Maharashtra), India.
Manuscript received on January 25, 2014. | Revised Manuscript received on February 13, 2014. | Manuscript published on February 28, 2014. | PP: 168-171  | Volume-3, Issue-3, February 2014. | Retrieval Number:  C2623023314/2013©BEIESP

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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Picture quality and statistical undetectability are two main issues related to steganography techniques. In this paper, a closed-loop computing framework is proposed that iteratively searches proper modifications of pixels/coefficients to enhance a base steganographic scheme with optimized picture quality and higher anti-steganalysis capability. To achieve this goal, an anti-steganalysis tester and an embedding controller based on the optimization algorithm with a cost function are incorporated into the processing loop to conduct the convergence of searches. The cost function integrates several performance indices, namely, the mean square error, the human visual system (HVS) deviation, and the differences in statistical features, and guides a proper direction during optimization.
Keywords:  Steganalysis, Steganography, optimization