Perceptual Watermarking for Discrete Shearlet Transform

Baharak Ahmaderaghi, Jesus Martinez Del Rincon, Fatih Kurugollu, Ahmed Bouridane

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

7 Citations (Scopus)
464 Downloads (Pure)


This paper presents a new perceptual watermarking model for Discrete Shearlet transform (DST). DST provides the optimal representation [10] of the image features based on multi-resolution and multi-directional analysis. This property can be exploited on for watermark embedding to achieve the watermarking imperceptibility by introducing the human visual system using Chou’s model. In this model, a spatial JND profile is adapted to fit the sub-band structure. The combination of DST and the Just-Noticeable Distortion (JND) profile improves the levels of robustness against certain attacks while minimizing the distortion; by assigning a visibility threshold of distortion to each DST sub-band coefficient in the case of grey scale image watermarking.
Original languageEnglish
Title of host publication2014 5th European Workshop on Visual Information Processing (EUVIP)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Print)978-147994572-6
Publication statusPublished - 12 Dec 2014
EventEuropean Workshop on Visual Information Processing - Paris, France
Duration: 10 Dec 201412 Dec 2014


ConferenceEuropean Workshop on Visual Information Processing


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