CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
Reseach Article

An Efficient Image Watermarking Approach based on Fourier Transform

by Methaq T. Gaata
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 136 - Number 9
Year of Publication: 2016
Authors: Methaq T. Gaata

Methaq T. Gaata . An Efficient Image Watermarking Approach based on Fourier Transform. International Journal of Computer Applications. 136, 9 ( February 2016), 8-11. DOI=10.5120/ijca2016908559

@article{ 10.5120/ijca2016908559,
author = { Methaq T. Gaata },
title = { An Efficient Image Watermarking Approach based on Fourier Transform },
journal = { International Journal of Computer Applications },
issue_date = { February 2016 },
volume = { 136 },
number = { 9 },
month = { February },
year = { 2016 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016908559 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:36:37.463776+05:30
%A Methaq T. Gaata
%T An Efficient Image Watermarking Approach based on Fourier Transform
%J International Journal of Computer Applications
%@ 0975-8887
%V 136
%N 9
%P 8-11
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

Currently, inserting of the watermarking information into various multimedia files represent important research area. The objective is to insert the watermark with less perceived distortions in order to achieve copyright protection and authenticity. This paper presents a new image watermarking approach based on Fourier transform and characteristics of vision system. In fact, the proposed approach exploits the areas that produce after applied the Fourier transform on the images in order to select of appropriate coefficients to store the watermark bits. The original image is partitioned into the non-overlapping blocks. Watermark bits are inserted within the selected coefficients of each block depending on certain condition. The performance of the proposed watermarking approach is evaluated in terms of quality and robustness with many of statistical measures. Experimental results illustrate that the proposed approach can be optimal compromise to solve conflict problem between quality and robustness. In addition, the proposed approach exhibit good robustness against different types of attacks such as Gaussian noise, Gamma noise, blurring filtering, and sharpness.

  1. M. Swanson, K. MEI, A. Tefik," Multimedia Data-Embedding and Watermarking Technologies," Proceeding of IEEE, VOL. 86, NO. 6, June 1998.
  2. K. Rawat and D. Tomar, "Digital Watermarking Schemes for Authorization Against Copying of Piracy of Color Images, Indian Journal of Computer Science and Engineering, Vol. 1 No. 4 295-300, 2009.
  3. Vipula Singh ,"Digital Watermarking: A Tutorial,"Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Telecommunications (JSAT), January Edition, 2011.
  4. Ali Benoraira*, Khier Benmahammed and Noureddine Boucenna, "Blind image watermarking technique based on differential embedding in DWT and DCT domains" EURASIP Journal on Advances in Signal Processing 2015.
  5. Chi-Man Pun, "A Novel DFT-based Digital Watermarking System for Images",8th International Conference on  Signal Processing, vol.2, 2006.
  6. Ante Poljicak, Lidija Mandic, Darko Agic, "Discrete Fourier transform–based watermarking method with an optimal implementation radius", Journal of Electronic Imaging v0l. 20 no.3, 2011.
  7. Xiang-yang Wanga, Chun-peng Wanga, Hong-ying Yanga, Pan-pan Niua , "A robust blind color image watermarking in quaternion Fourier transform domain," Journal of Systems and Software, Volume 86, Issue 2, February 2013, Pages 255–277.
  8. Reema Jain and Manish Jain,"Digital Image Watermarking using 3-Level DWT and FFT via Image Compression," International Journal of Computer Applications (0975 – 8887) Volume 124 – No.16, August 2015.
  9. The USC-SIPI image database, Allan Weber, database editor.
  10. H. Sheikh, M. Sabir and C. Bovik, “A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms,” IEEE Trans. on Image Processing, 2006, 15, (11), pp. 3441–3451.
  11. Z. Wang, A. Bovik, H. Sheikh and E.Simoncelli, “Image Quality Assessment: From Error Visibility to Structural Similarity,” IEEE Transactions on Image Processing, vol. 13, no.4, pp. 600-612, April 2004.
  12. Eric Blais, Joshua Brody, and Badih Ghazi, "The Information Complexity of Hamming Distance", Workshop on Randomization and Computation (RANDOM’2014).
Index Terms

Computer Science
Information Sciences


Digital watermarking Fourier transform Color Image.