Image Fusion Based Visible Watermarking Using Dual-Tree Complex Wavelet Transform

  • Yongjian Hu
  • Jiwu Huang
  • Sam Kwong
  • Y. K. Chan
Conference paper

DOI: 10.1007/978-3-540-24624-4_7

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2939)
Cite this paper as:
Hu Y., Huang J., Kwong S., Chan Y.K. (2004) Image Fusion Based Visible Watermarking Using Dual-Tree Complex Wavelet Transform. In: Kalker T., Cox I., Ro Y.M. (eds) Digital Watermarking. IWDW 2003. Lecture Notes in Computer Science, vol 2939. Springer, Berlin, Heidelberg

Abstract

Digital watermarking has been researched extensively due to its potential use for data security and copyright protection. Much of the literature has focused on developing invisible watermarking algorithms. However, not much has been done on visible watermarking. A visible watermark is apparently needed for copyright notification. This work proposes a new framework of visible watermarking based on image fusion, a common technique used in combining images acquired from different modalities. To better protect the host features and increase the robustness of the watermark, the dual-tree complex wavelet transform (DT-CWT) is used. A new classification strategy is proposed to classify complex wavelet coefficients into 6 classes with different perceptual significance. The embedding decision can be made based on the classification information. Small watermark coefficients are prohibited from embedding. In the host edges, the insertion of watermark energy is controlled by using the inversely proportional embedding scheme to better preserve the sensitive region, while in other regions, the embedding strength becomes stronger as texture activity increases. This work also addresses the problem of low-pass subband watermark embedding, which is a special issue of visible watermarking. Experimental results show that the proposed algorithm yields significantly superior image quality than the current DCT-based method.

Keywords

visible watermark image watermarking image fusion complex wavelet adaptive watermarking 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Yongjian Hu
    • 1
    • 2
    • 3
  • Jiwu Huang
    • 1
  • Sam Kwong
    • 3
  • Y. K. Chan
    • 3
  1. 1.School of Information Science and TechnologySun Yat-Sen UniversityGuangzhouPRC
  2. 2.Department of Automatic Control EngineeringSouth China University of TechnologyGuangzhouPRC
  3. 3.Department of Computer ScienceCity University of Hong KongKowloon, Hong Kong

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