Anti-geometry attack robust watermarking method based on steady circular area

Abstract

The present invention provides an anti-geometric attack Robust watermark method based on a stable circle. The method utilizing basic concept of the the second watermark technology, comprehensive considering the image character and watermark information, firstly determines a stable circle based on the CSS angular point detected by the multi-scale curvature product method, then divides sectors in the stable circle which reference point is centroid of the image, embeds in watermark in the time-space area by the QIM method. The invention not only resists the processing attack of the conventional signal, but alos resists geometrical attack such as rotation, zoom, parallel move and cutting, capable of effectively protecting copyright of the digital media.

Description

technical field [0001] The invention belongs to the field of multimedia, and in particular relates to a robust watermarking method against geometric attacks based on a stable circular area. Background technique [0002] With the rapid development of computer and Internet technology, multimedia files are widely disseminated, and the protection of their intellectual property becomes more and more important. Digital watermarking is an effective method, which embeds specific copyright information into the image as a proof of copyright owner. [0003] To play a role in protecting copyright, digital watermark should have two basic characteristics: first, transparency, that is, the image embedded with watermark is almost the same as the original image, the existence of digital watermark cannot be seen, and the original work should not be damaged as much as possible; secondly It is robustness, that is, digital watermarking should be able to resist various intentional or unintention...

AI Technical Summary

Problems solved by technology

In the classic second-generation watermarking algorithm, P.Bas et al. (Patrick Bas, Jean-Marc Chassery, and Benoit Macq, Geometrically invariant watermarking using feature points. IEEE Transactions on Image Processing, vol.11, no.9, 2002, pp. 1014-1028) The number of feature points extracted by the Harris corner detection method is too large, and the stability of many feature points is not enough, so that the number of triangles that can be better synchronized in the watermark detection process is limited

Tang et al. (C.W.Tang and H.M.Hang. A feature-based robust digital image watermarking scheme. IEEE Transactions on Signal Processing, 2003, 51(4): 950-958.) used Mexican hat wavelet to extract feature points to determine the feature area, but in There is an interpolation error in the normalization process, which affects the performance of the watermark

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