Blind Image Watermark Detection based on Locally Adaptive Denoising Filtering

K. Li and X.-P. Zhang (Canada)


image watermarking, adaptive filtering, denoising, blind detection


1 In this paper, new adaptive blind watermark detection methods for additive spread spectrum digital watermark are developed based on the adaptive denoising filter. The spread spectrum watermark is treated as uncorrelated white noise with respect to the image. The key of the method is the estimation of the local noise variance. Two types of blind detectors are designed using adaptive denoising filter based on two different local noise variance estimation schemes, which are critical components in denoising filtering. It is shown that an adaptive estimate of local noise variance enhances the performance of watermark detection. Experimental results show that the proposed schemes allow reliable blind watermark detection after common image processing operations are performed on the image.

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