CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Combined DCT – CS Theory based Digital Watermarking Technique for Color Images

Published on March 2014 by Rohit M. Thanki, Komal R. Borisagar
journal_cover_thumbnail

National Conference on Emerging Trends in Information and Communication Technology 2013
Foundation of Computer Science USA
NCETICT - Number 1
March 2014
Authors: Rohit M. Thanki, Komal R. Borisagar
7212eae5-5989-41a2-a152-87edc46babab

Rohit M. Thanki, Komal R. Borisagar . Combined DCT – CS Theory based Digital Watermarking Technique for Color Images. National Conference on Emerging Trends in Information and Communication Technology 2013. NCETICT, 1 (March 2014), 17-23.

@article{
author = { Rohit M. Thanki, Komal R. Borisagar },
title = { Combined DCT – CS Theory based Digital Watermarking Technique for Color Images },
journal = { National Conference on Emerging Trends in Information and Communication Technology 2013 },
issue_date = { March 2014 },
volume = { NCETICT },
number = { 1 },
month = { March },
year = { 2014 },
issn = 0975-8887,
pages = { 17-23 },
numpages = 7,
url = { /proceedings/ncetict/number1/15658-1307/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Emerging Trends in Information and Communication Technology 2013
%A Rohit M. Thanki
%A Komal R. Borisagar
%T Combined DCT – CS Theory based Digital Watermarking Technique for Color Images
%J National Conference on Emerging Trends in Information and Communication Technology 2013
%@ 0975-8887
%V NCETICT
%N 1
%P 17-23
%D 2014
%I International Journal of Computer Applications
Abstract

In this paper, a digital watermarking technique using new signal processing theory called compressive sensing have been implement and analysis for different embedding monochromic watermark images into color cover images. In order to implement of technique, first convert watermark image into its sparse domain and then convert into linear measurement vector using basis matrix and measurement matrix. Then embed this linear measurement vector into color cover image using mid band coefficient based DCT watermarking technique. This paper is also give comparison of this technique for different mid band coefficient with traditional approach of DCT based watermarking technique. Watermarked image have been verified on the parameters of PSNR, BER, SSIM and Payload Capacity. This technique is providing more Payload Capacity compare to traditional approach of DCT based watermarking technique.

References
  1. G. Langelaar, I. Setyawan and R. Lagnedijk, "Watermarking of Digital Image and Video Data – A State of Art Review", IEEE Signal Processing Magazine, pp. 20-46, September 2000.
  2. F. A. P. Petitcolas, "Watermarking Schemes Evaluation", IEEE Signal Processing Magazine, pp. 58-64, September 2000.
  3. L. Liu. "A Survey on Digital Watermarking Technologies", Technical Report, Stony Brook University, New York, USA, 2005.
  4. Heather Wood, "Invisible Digital Watermarking the Spatial and DCT Domains for Color Images", Adams State College, Alamosa, Colorado.
  5. A. V. Sreedhanya and K. P. Soman, " Ensuring Security to the Compressed Sensing Data Using a Steganographic Approach", Bonfring International Journal of Advances in Image Processing, Vol. 3, No. 3, March 2013.
  6. E. Candès and M. Wakin, "An Introduction to Compressive Sampling", IEEE Signal Processing Magazine, March 2008.
  7. J. Romberg, "Imaging via Compressive Sensing", IEEE Signal Processing Magazine, March 2008.
  8. R. Baraniuk, Lecture notes "Compressive Sensing", IEEE Signal Processing Magazine, Vol. 24, pp. 118-124, July 2007.
  9. J. R. Hernandez, M. Amado and F. Perez-Gonzales, "DCT-Domain Watermarking Techniques for Still Images: Detector Performance Analysis and a New Structure", in IEEE Trans. Image Processing, Vol. 9, pp. 55-68, January 2000.
  10. M. Jiansheng, L. Sukang and T. Ziaomei, "A Digital Watermarking Algorithm Based on DCT and DWT", In Proceedings of the 2009 International Symposium on Web Information Systems and Applications (WISA'09), Nanchang, P. R. China, pp. 104-107, May 2009.
  11. I. J. Cox, J. Kilian, T. Leighton and T. Shamoon, "Secure Spread Spectrum Watermarking for Multimedia", IEEE Transactions on Image Processing, Vol. 6, No. 12, December 1997.
  12. J. Tropp and A. Gilbert, "Signal Recovery from Random Measurements via Orthogonal Matching Pursuit", 2007.
  13. F. Tiesheng, L. Guiqiang, D. Chunyi and W Danhua, "A Digital Image Watermarking Method Based on the Theory of Compressed Sensing", International Journal Automation and Control Engineering, Vol. 2, Issue 2, May 2013.
  14. M. Kutter and F. A. P. Petitcolas, "A Fair Benchmark for Image Watermarking Systems", Electronic Imaging' 99, Security and Watermarking of Multimedia Contents, vol. 3657, Sans Jose, USA, 25-27 January 1999.
  15. C. Shoemaker, "Hidden bits: A Survey of Techniques for Digital Watermarking", Independent Study, EER 290, Prof. Rudko, spring 2002.
  16. Ali Al - Haj, "Combined DWT – DCT Digital Watermarking", Journal of Computer Science, Vol. 3, Issue 9, pp. 740 – 746, 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Compressive Sensing Sparse Domain Payload Capacity Ssim Color Image Watermarking