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Distributed Multiresolution Transform Based Framework for Watermarking
Abstract
In this chapter, a robust watermarking technique based on distributive multiresolution transforms (DMT) and singular value decomposition is presented to improve the protection of the images. First, the watermark image is mapped to another form to get reference watermark which is secret and only known to the owner/creator. In order to map watermark image into reference form, chaotic maps are used. The core idea of the proposed technique is to decompose host image via DMT followed by reference watermark embedding in DMT coefficients by modifying the singular values. After embedding, inverse transform is performed to get watermarked image. Two new different distributive multiresolution transforms, namely distributive multiresolution Fourier and distributive multiresolution cosine transform, are explored and used. The feasibility of the proposed method and its robustness against different kind of attacks are verified by computer simulations, and superiority is carried out by the comparisons with the existing methods.
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