Genetic Algorithm Based Imperceptible Spatial Domain Image Steganography Technique with High Payload Capacity
Pratik D. Shah1, Rajankumar S. Bichkar2
1Pratik D. Shah,Research Scholor Dept. of E&TC, G. H. Raisoni College of Engineering and Management, Assistant Professor Dr. D. Y. Patil School of Engineering, SavitribaiPhule Pune University, Pune 412207, India.
2Rajankumar S. Bichkar, Principal, Vidya Pratishthan’s Kamalnayan Bajaj Institute of Engineering and Technology, Baramati, Savitri bai Phule Pune University, Pune, India.
Manuscript received on 24 January 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 January 2019 | PP: 224-229 | Volume-7 Issue-6, March 2019 | Retrieval Number: E2055017519©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: Data security is a very important factor in any form of digital communication. Steganography can be used to enhance the security of digital communication. There are various methods to perform steganography on digital images, but very few deal with increasing imperceptibility and data embedding capacity together. In this paper, a high data embedding capacity spatial domain image steganography scheme is proposed which is highly imperceptible. In the proposed technique steganography is modeled as a search and optimization problem and Genetic algorithm (GA) is used to solve this problem to find the near-optimal solution. Optimal pixel adjustment procedure (OPAP) is further used to improve the quality of stego-image. Experimental results exhibited that the proposed technique provides an improvement in imperceptibility of stego-image at high data embedding rate when compared to several other popular steganography techniques. The average PSNR value of various stego-images at two bit per pixel data embedding rate was 46.39.
Keywords: Genetic algorithm (GA); Image steganography;
Information hiding; Spatial domain; Steganalysis
Scope of the Article: Image analysis and Processing