基于MSB和HVS的空域信息隐藏算法的研究

Study of Spatial Information Hiding Algorithm Based on MSB and HVS

为了提高图像信息隐藏的容量以及鲁棒性,提出了基于最高有效位和人类视觉系统的空域信息隐藏算法。它将秘密信息与最高有效位平面匹配替换,以减少需要嵌入信息的容量,形成新的秘密信息;然后根据人眼视觉,针对图像的纹理区域和平滑区域、高灰度区域和低灰度区域的不同冗余程度进行信息嵌入。实验结果表明,该算法具有较好的鲁棒性,嵌入容量大于LSB算法,并且隐秘图像的峰值信噪比均大于38dB,保证了信息隐藏的视觉效果。

In order to improve the capacity and robustness of the image information hiding,the spatial information hiding algorithm based on most significant bit（MSB）and human visual system（HVS）was proposed.Firstly the secret information and the most significant bit plane were matched and replaced to reduce the capacity of the embedded information,and new secret information was formed.Then according to the different degrees of redundancy of the human visual for texture areas and smooth areas,high gray areas and low gray areas of images,the information was embedded.The experimental results show that the algorithm has better robustness and the embedding capacity is greater than the LSB algorithm,and that the PSNR value of stego images is greater than 38dB to maintain good visual effect.