Robust image watermarking based on local Zernike moments

Nitin Singhal, Young Yoon Lee, Chang-Su Kim, Sang Uk Lee

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

14 Citations (Scopus)

Abstract

Invariant image features can be used to carry watermarks so as to improve the robustness of the watermarks against geometric transformations. However, most previous watermarking algorithms using invariant features are still sensitive to cropping attacks and combinations of rotation, scaling, and translation (RST) attacks. To improve the resilience against these attacks, we propose a multi-bit image watermarking algorithm using local Zernike moments (LZMs). The magnitude of LZMs are dither-modulated to embed watermark bits. To achieve scale invariance, we restore the original sampling rate using invariant centroid and geometric moments. Simulation results demonstrate that the proposed watermarking algorithm is robust against various geometric attacks as well as signal processing attacks.

Original languageEnglish
Title of host publication2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 - Proceedings
Pages401-404
Number of pages4
DOIs
Publication statusPublished - 2007
Event2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 - Chania, Crete, Greece
Duration: 2007 Oct 12007 Oct 3

Publication series

Name2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 - Proceedings

Other

Other2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007
CountryGreece
CityChania, Crete
Period07/10/107/10/3

Keywords

  • Digital image watermarking
  • Digital right management
  • Invariant image features
  • Local Zernike moments

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Signal Processing

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  • Cite this

    Singhal, N., Lee, Y. Y., Kim, C-S., & Lee, S. U. (2007). Robust image watermarking based on local Zernike moments. In 2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 - Proceedings (pp. 401-404). [4412901] (2007 IEEE 9Th International Workshop on Multimedia Signal Processing, MMSP 2007 - Proceedings). https://doi.org/10.1109/MMSP.2007.4412901