基于新的Arnold反置乱的二值图像信息隐藏

主要研究的是二值图像的信息隐藏技术。这类图像的信息隐藏,具有人眼易觉察、稳健性不高且容量受限制的缺点。目的正是在于提高该类图像信息隐藏的稳健性和人眼不可见性。首先对图像进行处理,即计算各像素点修改度,将原始图像和分配了可修改优先级的图像用同一算法和参数Arnold置乱,在嵌入信息后进行新的Arnold反置乱。通过Matlab试验,信息载体图像与原始二值图像相比没有明显降质,嵌入的数据可以无损恢复.原始图像也可以无损恢复。

Binary-image Information Hiding Based on New Arnold Scrambling

This paper mainly focuses on steganography in binary image. Information hiding in these images, with fairly low robustness and limited capacity, is easily detectable. With purpose to enhance the robustness and make the hidden message ＂blind＂ to human eye, the image is first processed, that is, to calculate the modified priority of every pixel point, then to scramble the original image and the processed image with the same algorithm and parameters, and then to inversely scramble the image with embedded information. The experimental results based on Matlab show that the embedded data is invisible and could be completely recovered.Also the original image could be recovered without any damage.