优美图随机嵌入路径耦合像素优化的图像隐写

目的为了解决当前图像隐写方案不可感知能力差、秘密信息嵌入路径随机性较低、难以抵御盲隐写攻击,以及隐写容量小等问题。方法提出优美图随机嵌入路径耦合像素优化控制的图像无损隐写术。基于HIWT机制将载体图像转换为频域整数系数,实现无损隐写。定义图像直方图修改规则,构造隐藏信息长度估算模型,确定图像分块的频域表示,增强该算法的可靠性。引入LSB替代,设计像素区间控制机制,缩小密文与载体之间的嵌入误差。再嵌入图论,构建优美图,获取随机矩阵,确定秘密信息自适应随机嵌入路径,增强隐写的不可感知性能。借助逆向HIWT获取隐写图像。结果与当前隐写方案相比,文中隐写术具备更强的不可感知性,有效降低了阶梯效应,且隐写容量更高,提取图像无失真。结论文中算法可对图像进行安全无损隐藏,有效保护图像可靠传输。

Image Lossless Steganography Based on Pixel Optimization Adjustment Couped with Graph Random Embedding Path

Objective To sovle the defects such as poor imperceptible performance, low randomness of the confidential information embedding path, difficulty in fighting against blind steganography attacks, and small capacity of infimation hiding in current image steganography mechanism. Methods The image steganography based on pixel optimization and graph random embedding path was proposed in this paper. Carrier image was converted to frequency domain integer coefficients based on HIWT mechanism, and lossless steganography was achieved. The hiden information length estimation model was constructed by defining the image histogram modifying rule to find the frequency domain representation of image blocks. Then the pixel optimization adjustment mechanism was designed by introducing the LSB substitution to reduce the error between carrier image and stego-image for increasing steganography capacity. Random embedding path of frequency domain integer coefficients were designed by embedding graph to improve the imperceptible performance. Finally, the extraction mechanism was designed to obtain the stego-image. Results The simulation results on two large image databases showed that in comparison with current image steganography mechansim, the imperceptible performance and anti-detection of the proposed method were stronger, which effectively reduce the ladder effects; and the high capacity of this mechanism was higher. Conclusion The algorithm proposed in this paper could hide the images in a safe and lossless way, and can effectively protect the reliable transportation of images.