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A novel image steganography scheme with high embedding capacity and tunable visual image quality based on a genetic algorithm

机译:基于遗传算法的高嵌入能力和可视图像质量可调的新型图像隐写方案

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摘要

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.
机译:隐写术是将秘密数据隐藏到信息中的知识和艺术,信息安全系统中大量使用隐秘技术。文献中已经提出了各种方法,它们中的大多数不能既防止视觉退化又不能提供大的嵌入能力。在本文中,我们提出了一种基于遗传算法(GA)的空间视觉可调图像质量和数据无损方法。拟议技术的主要思想是将隐写术问题建模为搜索和优化问题。实验结果表明,与目前其他流行的隐写技术相比,该算法不仅具有较高的嵌入能力,而且可以提高隐写图像的PSNR。

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