Study On Multi-purpose Dual Watermarking Algorithm For Digital Image Based On Compressive Sensing And Polar Cosine Transform

In recent years,with the rapid development of digital media technology,digital image faces more and more security problems,such as copyright infringement,content tampering and counterfeiting.Therefore,an all-round multi-purpose protection technology for digital images is needed.At present,digital watermarking is one of the most common techniques for digital images protection.However,the traditional watermarking technology has single function,and the multi-purpose multi-watermark technology can prorect digital image in all directions.erefore.the research of multi-watermark technology is of great realistic and theoretical value.In view of the shortcomings of the existing double watermarking methods,such as poor performance of fragile watermarking and the interaction between the two watermarks,and so on.In this paper,we use to compression sensing.K-SVD dictionary learning and polar cosine transform propose a self-recovery fragile watermarking,robust zero-watermark and dual watermark technique.The main work of this paper is as follows:(1)In order to make up for the deficiency of tamper localization and reduce the redundancy of watermark information,an image self-recovery fragile watermarking algorithm based on compressive perception and K-SVD is proposed.In order to reduce the redundancy of watermark information.compressive sensing and K-SVD are used to generate recovery watermark.The watermark signal which can detect itself is added to the generated authentication watermark,and a multi-level tamper detection scheme is constructed to make up for the deficiency of self-recovering fragile watermark in tamper location.The experimental results show that the proposed algorithm can achieve multi-purpose protection for digital image content authentication,tamper localization and tamper area restoration,and has the ability to resist collage attack.(2)A robust zero-watermarking algorithm based on polar cosine transform and logistic chaotic mapping is proposed to solve the contradiction between robustness and invisibility of digital watermarking and weaken its shortcomings in resisting geometric attacks.Because the robust zero-watermark does not change the image data,the contradiction between robustness and invisibility of watermark is solved.Due to the geometric invariance of the polar cosine transform,the proposed robust zero-watermarking algorithm has the ability to resist geometric attacks.The experimental results show that the proposed algorithm not only can maintain the image quality,but also has good anti-geometric attack ability.(3)In order to make up for shortcoming of traditional watermarking like single function,a multi-purpose dual watermarking algorithm based on compressive sensing and polar cosine transform is proposed.The self-recovery fragile watermark is based on compressive sensing,and then the robust zero-watermark is realized by using the polar cosine transform on the basis of the cover image.In the proposed double watermarking scheme,fragile watermarking and robust zero-watermarking are not interact with each other,and the functions of content authentication(tamper localization and tamper area recovery)and copyright protection are realized respectively.The experimental results show that the proposed algorithm can not only effectively protect the copyright of digital images,but also realize multi-purpose protection such as content authentication,tamper localization and tamper recovery.