Applications of a Neural Network to Estimate Watermark Embedding Strength

  • Authors:
  • Cong Jin;Shihui Wang

  • Affiliations:
  • Central China Normal University;Central China Normal University

  • Venue:
  • WIAMIS '07 Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services
  • Year:
  • 2007

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Abstract

Digital watermarking technology has the advantages of easy implementation and capability of providing wide security services such as copyright protection, authentication and secret communication. In this paper, a digital watermarking scheme using neural network is proposed. Firstly, the original image is divided into some 8脳8 blocks, and then neural networks according to different textural features and luminance of each block decide adaptively different embedding strengths. The watermark detection adopts correlation technology. Experimental results show that the proposed scheme has good imperceptibility and high robustness to common image processing operators.