基于人眼视觉特性的DCT域的信息隐藏盲提取算法

摘要

经过对人眼视觉特性和DCT的特征分析,选用载体图像DCT系数的中频部分作为待隐藏图像的DCT系数.并根据HVS特征将载体图像的各个DCT子块分为三类,然后根据DCT子块的类型不同,自适应改变每对DCT系数的强度参数.实验结果表明此算法具有良好的隐秘性和较强的鲁棒性.此外,在秘密信息提取时,该文算法不需要原始图像,实现了盲提取.%By the characteristic analysis carried on Human Visual System and DCT transformation,mide frequency section in DCT coefficient of carrier images is selected as DCT coefficient of the images to be hided.The DCT blocks of a cover-image are classified into three classes based on Human Visual System(HVS) characteristics,and then the parameters to be changed in each quantized DCT coefficient of a DCT block is varied with the type of the block.The experimental results indicate that this algorithm possesses very good steganography and strong robustness.Besides,the embedding data can be extracted from the stego-image without referencing to the original cover-image.