Research On Digital Watermarking Algorithms Based On Geometrical Attacks Invariant

With the rapid development of the digital multimedia technology and computer networks, it is easy to duplicate, modify and transmit the digital works. The negative affect coming after the development has greatly balked the advancement of the multimedia technology. Yet the digital watermark technology has great advantage to satisfy the need of the digital works right protect technology. The base is insert the right information as watermarking into the digital works, such as picture, text , video and audio. After a series of operation, we can still retrieve the watermarking from the works which has been embedded before. And the watermarking should also be the witness of the right pirate action.Digital watermarking is a new multimedia right protect technology without enough advance research, which covers many fields. The researchers has made some progress in the study of robustness, while we still have to face the problem of geometrical distortions, which has became the biggest obstacle in the business. Most application requires great in unnoticeable which is conflict to robustness, so the digital watermarking must balance the two considerately.Focuses are the principium of geometrically Invariant Watermarking and methods most used by image geometrically Invariant Watermarking, while the Human Visual System (HVS) is also present. Great attention has been paid to the common image algorithms using Discrete Fourier Transformation and Radon Transformation, which has seized great passion from many researchers.A new image geometrically Invariant domain algorithm, basing on the Human Visual System model, brings the property of insensitivity to geometrical distortions. The embedding and detection scheme is bound with Geometrically Invariant domain constructed by Radon Transformation and Discrete Fourier Transformation. After the construct of the Geometrically Invariant domain, the watermarking is embedded and detected in some fixed position. Such measure can provided the algorithm robustness to geometrical distortions.