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| Adaptive Dither Modulation Image Watermarking Algorithm |
| Xiao Jun①; Wang Ying①② |
①Graduate University of the Chinese Academy of Sciences, Beijing 100049, China;
②Key Lab of Network Security and Cryptology, Fujian Normal University, Fuzhou 350007, China |
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Abstract Quantization step is one of the key factors affecting the performances of quantization watermarking. In this paper, a new quantization watermarking algorithm is proposed using the JPEG quantization table to choose the quantization step of dither modulation adaptively, and another new adaptive quantization watermarking algorithm is proposed by combining the JPEG quantization table and the Watson model. Experimental results show that the proposed two algorithms are robust to noise and image transformations. Besides, the results also show that both the JPEG quantization table and the Watson model can be used to reduce the sensitivity of quantization watermarking to noise, and the best performance can be achieved when both of them are used.
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Received: 22 October 2007
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2009, Vol. 31 
