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Contourlet based image watermarking using optimum detector in the noisy environment

Sahraeian, S. M. E ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/ICIP.2008.4711783
  3. Publisher: 2008
  4. Abstract:
  5. In this paper, a new multiplicative image watermarking system is presented. As human visual system is less sensitive to the image edges, watermarking is applied in the contourlet domain, which represents image edges sparsely. In the presented scheme, watermark data is embedded in the most energetic directional subband. By modeling General Gaussian Distribution (GGD) for the contourlet coefficients, the distribution of watermarked noisy coefficients is analytically calculated. At the receiver, based on the Maximum Likelihood (ML) decision rule, the optimal detector is proposed. Experimental results show the imperceptibility and high robustness of the proposed method against Additive White Gaussian Noise (AWGN) and JPEG compression attacks. © 2008 IEEE
  6. Keywords:
  7. Additive White Gaussian noise ; Contourlet coefficients ; Contourlet transform ; Contourlets ; Decision rules ; General Gaussian distribution ; High robustness ; Human Visual System ; Image edge ; Image Watermarking ; Image watermarking systems ; JPEG compression ; Maximum likelihood detector ; Multiplicative image watermarking ; Noisy environment ; Optimal detectors ; Optimum detectors ; Sub-bands ; Additive noise ; Detectors ; Gaussian noise (electronic) ; Image processing ; Imaging systems ; Signal detection ; Watermarking ; White noise ; Maximum likelihood
  8. Source: 2008 IEEE International Conference on Image Processing, ICIP 2008, San Diego, CA, 12 October 2008 through 15 October 2008 ; December , 2008 , Pages 429-432 ; 15224880 (ISSN); 1424417643 (ISBN); 9781424417643 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4711783