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为了增加图像置乱网络的复杂度和提高网络运行的速度，提出了一种改进型基于混沌的图像置乱网络。
In this paper, a new modified method of chaotic picture scrambling network is proposed by the chaotic mapping interval twice division and the chaotic orbits dynamic quantification.
仿真实验表明：该数值指标能较好地与人的直观视觉效果相适应。(2)提出了一种基于BP神经网络的图像置乱新方法。
Experimental results show that the proposed numerical index suits the intuitionistic vision effects perfectly. (2) a new image scrambling method based on BP neural networks is presented.
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