Novel multi-channel image watermarking method for resisting effectively geometric attacks

Aim. At the beginning of this paper, the review of existing literature on resisting geometric attacks^[1-8] reveals, in our opinion, that none of them is sufficiently effective. We now present a method that, we believe, is quiet effective. In the full paper, we explain our novel method in some detail; in this abstract, we just add some pertinent remarks to listing the two topics of explanation. The first topic is: the principles of multi-channel image watermarking framework. Its two subtopics are: the generation of the image watermarking template from image channel's data to be embedded (subtopic 1.1) and the embedding of image watermarking template (subtopic 1.2). In subtopic 1.1, we make use of the chaotic watermarks proposed in Ref.9 by G Cotsman et al. In subtopic 1.2, eq.(4) in the full paper is taken from Ref.10. The second topic is: the detection of image watermarking. In the second topic, what is done in topic 1 ensures self-sychronization so that image watermarking can always be detected effectively by our method not only for affine transmission, which can be detected by existing methods though not effectively, but also for other cases of geometric attack, which can not be detected at all by existing methods. Experimental results, given in Figs.3 and 4 in the full paper, demonstrate preliminarily that this image watermarking produced by the multi-channel framework achieves a high performance of robustness even if an image undergoes some serious geometric distortion attacks.