A novel mark embedding and attack identifying technique for watermarking

Qi Wei Lin; Gui Feng

doi:10.1117/12.660542

18 April 2006 A novel mark embedding and attack identifying technique for watermarking

Qi Wei Lin, Gui Feng

Proceedings Volume 6241, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006; 62410K (2006) https://doi.org/10.1117/12.660542
Event: Defense and Security Symposium, 2006, Orlando (Kissimmee), Florida, United States

Abstract

With the rapid growth of network distributions of information like image, video and etc, there is an urgent need for copyright protection against pirating. As an effective method for ownership identification, digital watermarking technique arouses much interesting around the corresponding scientists. And much study is focused on information hiding technique. In this paper we propose a novel technique for watermarking. The technique was considered on other side of copyright protection: using mark when the watermark was embedded, if the watermarked image was attacked, we first distinguish the attack method, and then take the corresponding means to lessen or remove the effect of attack. As a result satisfactory extracted watermark can be obtained. In the proposed technique, usually we chose the length of mark sequence is much smaller than the pixel number in the sub-band, and the mark sequence can also be scrawled by spread spectrum code. So it is considerably powerful in resisting the clipping operation. This means the estimation of the attack type may be considerably accurate. Therefore the algorithm has the merit of robustness, strong anti-attack ability and security.

Citation Download Citation

Qi Wei Lin and Gui Feng "A novel mark embedding and attack identifying technique for watermarking", Proc. SPIE 6241, Data Mining, Intrusion Detection, Information Assurance, and Data Networks Security 2006, 62410K (18 April 2006); https://doi.org/10.1117/12.660542

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KEYWORDS

Digital watermarking

Wavelets

Image restoration

Discrete wavelet transforms

Image processing

Detection and tracking algorithms

Image compression

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