Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan 30050.
IEEE Trans Image Process. 2011 Mar;20(3):880-6. doi: 10.1109/TIP.2010.2072513. Epub 2010 Sep 2.
Reducing distortion between the cover object and the stego object is an important issue for steganography. The tree-based parity check method is very efficient for hiding a message on image data due to its simplicity. Based on this approach, we propose a majority vote strategy that results in least distortion for finding a stego object. The lower embedding efficiency of our method is better than that of previous works when the hidden message length is relatively large.
减少掩蔽对象和嵌入对象之间的失真对于隐写术来说是一个重要的问题。基于树的奇偶校验方法由于其简单性，对于在图像数据上隐藏消息非常有效。基于这种方法，我们提出了一种多数投票策略，该策略在找到嵌入对象时产生最小的失真。当隐藏消息长度较大时，我们的方法的较低嵌入效率优于先前的工作。
