针对数字图像嵌入量增大的同时视觉隐蔽性明显降低的问题，提出了基于位平面和人类视觉系统（HVS）的信息隐藏算法。考虑图像的位置迁移和像素的灰度变换，首先将秘密图像按位平面分层，根据改进的Arnold变换算法置乱，然后将得到的位平面与掩饰图像的最高有效位平面匹配，降低秘密序列所占空间，最后根据人眼视觉的掩蔽效应确定嵌入深度表，进行分层的信息嵌入。实验结果表明，算法在保证视觉效果的同时，可嵌入的信息量进一步提高，可嵌容量在28%以上，峰值信噪比大于45 dB，同时具有较好的鲁棒性。

To increase the amount of embedded information hidden in digital image, a hiding algorithm based on bit-plane and the information of HVS (human visual system)is proposed. Our proposed method takes both, the position of the image and changes in the pixel gray values into account. First of all,the secret image is stratified by a bit-plane,scrambling in accordance with the improved Arnold transform algorithms.The most significant bit plane is matched with the bit plane of the cover image and then obtained. This reduces the space of the secret sequence,and then in accordance with the masking effect of the human visual system, in the table of embedded depth,the information is embedded. The experimental results show that the algorithm is not ensuring the visual effect,the amount of information which can be embedded is further improved, and the capacity is more than 28%,PSNR greater than 45 dB.Furthermore, the proposed algorithm is more robust.