Morphological wavelet domain watermarking

Deepayan Bhowmik, G.C.K. Abhayaratne

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


Current digital watermarking methods based on the discrete wavelet transform use orthogonal wavelet kernels. In this paper, we discuss the use of morphological wavelets, which are a class of non-linear wavelets, in digital watermarking for scalable coded images. Three different scenarios for embedding the watermark, namely, 1) embedding only in the low pass subband (low-low), 2) embedding only in the high pass subbands (low-high, high-low and high-high) and 3) embedding in all subbands are considered to model popular wavelet domain watermarking methods. The performance of morphological Haar and higher length median wavelets in terms of embedding and detection under content adaptation attacks, such as resolution and quality scalable decoding are shown. Morphological wavelets based watermarking shows a high robustness against the content adaptation attacks, especially in resolution scalability, compared to the conventional orthogonal wavelets based watermarking.
Original languageEnglish
Title of host publicationSignal Processing Conference, 2007 15th European
Number of pages5
ISBN (Print)978-839-2134-04-6
Publication statusPublished - Sept 2007


  • Haar transforms
  • decoding
  • discrete wavelet transforms
  • image watermarking
  • mathematical morphology
  • object detection
  • content adaptation attacks
  • digital watermarking methods
  • discrete wavelet transform
  • high pass subbands
  • higher length median wavelets
  • low pass subband
  • morphological Haar wavelets
  • morphological wavelet domain watermarking
  • nonlinear wavelets
  • orthogonal wavelet kernels
  • quality scalable decoding
  • resolution scalable decoding
  • scalable coded images
  • Discrete wavelet transforms
  • Image coding
  • Image resolution
  • Watermarking
  • Wavelet domain


Dive into the research topics of 'Morphological wavelet domain watermarking'. Together they form a unique fingerprint.

Cite this