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A robust zero-watermark copyright protection scheme based on DWT and image normalization

Shakeri, M ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. DOI: 10.1007/978-3-642-25346-1_32
  3. Publisher: 2011
  4. Abstract:
  5. Recently, protecting the copyright of digital media has become an imperative issue due to the growing illegal reproduction and modification of digital media. A large number of digital watermarking algorithms have been proposed to protect the integrity and copyright of images. Traditional watermarking schemes protect image copyright by embedding a watermark in the spatial or frequency domain of an image. However, these methods degrade the quality of the original image in some extend. In recent years, a new approach called zero-watermarking algorithms is introduced. In these methods, the watermark does not require to be embedded into the protected image but is used to generate a verification map which is registered to a trusted authority for further protection. In this paper a robust copyright proving scheme based on discrete wavelet transform is proposed. It uses a normalization procedure to provide robustness against geometric distortions and a cellular automaton for noise robustness. Experimental results on images with different complexity demonstrate that our proposed scheme is robust against common geometric and non geometric attacks including blurring, JPEG compression, noise addition, sharpening, scaling, rotation, and cropping. In addition, our experimental results obtained on images with different complexities showed that our method could outperform the related methods in most cases
  6. Keywords:
  7. Copyright protections ; Frequency domains ; Geometric attacks ; Geometric distortion ; Image copyright ; Image normalization ; JPEG compression ; Noise addition ; Noise robustness ; Original images ; Trusted authorities ; Watermarking algorithms ; Watermarking schemes ; Zero-watermarking ; Algorithms ; Automata theory ; Cellular automata ; Computer crime ; Computer graphics ; Copyrights ; Digital storage ; Digital watermarking ; Discrete wavelet transforms ; Geometry ; Robustness (control systems) ; Watermarking
  8. Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 20 November 2011 through 23 November 2011 ; Volume 7088 LNCS, Issue PART 2 , November , 2011 , Pages 359-370 ; 03029743 (ISSN) ; 9783642253454 (ISBN)
  9. URL: http://link.springer.com/chapter/10.1007%2F978-3-642-25346-1_32