A novel image steganography scheme with high embedding capacity and tunable visual image quality based on a genetic algorithm |
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| Affiliation: | 1. Department of Computer Architecture and Technology, University of the Basque Country UPV/EHU, Donostia-San Sebastian 20018, Spain;2. Department of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, Donostia-San Sebastian 20018, Spain;1. Institute of Computing, University of Campinas, SP, Brazil;2. Dept. of Computer Engineering, Federal Technological University of Parana, PR, Brazil;3. IMMUNOCAMP Research and Development of Technology, SP, Brazil;4. Institute of Biology, University of Campinas, SP, Brazil;1. Institute for Development & Research in Banking Technology, Hyderabad, India;2. School of Computer & Information Science, University of Hyderabad, Hyderabad, India |
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| Abstract: | Steganography is knowledge and art of hiding secret data into information which is largely used in information security systems. Various methods have been proposed in the literature which most of them are not capable of both preventing visual degradation and providing a large embedding capacity. In this paper, we propose a tunable visual image quality and data lossless method in spatial domain based on a genetic algorithm (GA). The main idea of the proposed technique is modeling the steganography problem as a search and optimization problem. Experimental results, in comparison with other currently popular steganography techniques, demonstrate that the proposed algorithm not only achieves high embedding capacity but also enhances the PSNR of the stego image. |
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| Keywords: | Steganography Tunable image steganography Spatial domain Genetic algorithm |
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