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首页> 外文期刊>EURASIP journal on advances in signal processing >Improved Adaptive LSB Steganography Based on Chaos and Genetic Algorithm
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Improved Adaptive LSB Steganography Based on Chaos and Genetic Algorithm

机译:基于混沌和遗传算法的改进型自适应LSB隐写技术

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We propose a novel steganographic method in JPEG images with high performance. Firstly, we propose improved adaptive LSB steganography, which can achieve high capacity while preserving the first-order statistics. Secondly, in order to minimize visual degradation of the stego image, we shuffle bits-order of the message based on chaos whose parameters are selected by the genetic algorithm. Shuffling message's bits-order provides us with a new way to improve the performance of steganography. Experimental results show that our method outperforms classical steganographic methods in image quality, while preserving characteristics of histogram and providing high capacity.
机译:我们提出了一种高性能的JPEG图像中的新型隐写方法。首先,我们提出了改进的自适应LSB隐写术,它可以在保持一阶统计量的同时实现高容量。其次,为了最大程度地减少隐身图像的视觉退化,我们基于混沌参数对消息的位顺序进行洗牌,混沌的参数由遗传算法选择。改组消息的位顺序为我们提供了一种提高隐写性能的新方法。实验结果表明,该方法在保持直方图特征和高容量的同时,图像质量优于传统的隐写方法。

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