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A Novel Image Steganography Using Chaotic Map and Visual Model

机译:使用混沌映射和视觉模型的新型图像隐写术

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A novel image steganography method using chaotic map and human visual model is presented in DCT domain. Firstly each 8 ×8 image block is performed Discrete Cosine Transform, then the location of image block that is embedded secret message is determined by the chaotic map. Finally the secret message is em-bedded adaptively in the usable middle frequency co-efficient pairs judged by Just Noticeable Differ-ence(JND). Simulation results show that the algorithm has a high capacity and a good invisibility, moreover it is robust for the common image processing like JPEG compression and cropping.
机译:DCT结构域中的使用混沌图和人类视觉模型的一种新型图像隐写方法。首先,每个8×8图像块都执行离散余弦变换,然后由嵌入秘密消息的图像块的位置由混沌映射确定。最后,通过仅通过显着差异(JND)判断的可用中频的共频对,在可用的中频共对成对中适于秘密信息。仿真结果表明,该算法具有很高的容量和良好的隐形,而且对于JPEG压缩和裁剪等公共图像处理是强大的。

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