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Adaptive spread-transform dither modulation using an improved luminance-masked threshold

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4 Author(s)
Dong Yu ; School of Electronic and Information Engineering, South China Univ. of Tech., Guangzhou 510640, China ; Lihong Ma ; Guoxi Wang ; Hanqing Lu

Based on the improved Watson's model, an adaptive spread-transform dither modulation (ASTDM) algorithm is proposed for efficient watermarking to resist the amplitude scaling and coefficient re-quantization attacks. Firstly, the luminance masking is modified to be consistent with amplitude scaling without affecting the original parameters. Then, by incorporating the improved model with STDM algorithm, a maximum labeling strength and an appropriate quantization step-size shrinking with the local values of a host image are achieved. Experiments demonstrate that with high embedding rate and transparence, ASTDM can greatly increase the robustness against amplitude scaling while retaining anti-re-quantization property, which means the two drawbacks of QIM algorithm are solved simultaneously.

Published in:

2008 15th IEEE International Conference on Image Processing

Date of Conference:

12-15 Oct. 2008