Robust image watermarking using local Zernike moments

  • Authors:

  • Nitin Singhal;Young-Yoon Lee;Chang-Su Kim;Sang-Uk Lee

  • Affiliations:

  • Samsung Electronics Co. Ltd., Suwon, Republic of Korea;Samsung Electronics Co. Ltd., Suwon, Republic of Korea;School of Electrical Engineering, Korea University, Seoul, Republic of Korea;Signal Processing Laboratory, School of Electrical Engineering and INMC, Seoul National University, Republic of Korea

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2009

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Abstract

In this work, we propose a robust image watermarking algorithm using local Zernike moments, which are computed over circular patches around feature points. The proposed algorithm locally computes Zernike moments and modifies them to embed watermarks, achieving robustness against cropping and local geometric attacks. Moreover, to deal with scaling attacks, the proposed algorithm extracts salient region parameters, which consist of an invariant centroid and a salient scale, and transmits them to the decoder. The parameters are used at the decoder to normalize a suspect image and detect watermarks. Extensive simulation results show that the proposed algorithm detects watermarks with low error rates, even if watermarked images are distorted by various geometric attacks as well as signal processing attacks.