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
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

High Frequency Component based Addition Algorithm of Digital Image Watermarking

by Amol R. Madane, Uttam D. Kolekar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 50 - Number 10
Year of Publication: 2012
Authors: Amol R. Madane, Uttam D. Kolekar
10.5120/7809-0944

Amol R. Madane, Uttam D. Kolekar . High Frequency Component based Addition Algorithm of Digital Image Watermarking. International Journal of Computer Applications. 50, 10 ( July 2012), 30-34. DOI=10.5120/7809-0944

@article{ 10.5120/7809-0944,
author = { Amol R. Madane, Uttam D. Kolekar },
title = { High Frequency Component based Addition Algorithm of Digital Image Watermarking },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 50 },
number = { 10 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume50/number10/7809-0944/ },
doi = { 10.5120/7809-0944 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:47:57.203327+05:30
%A Amol R. Madane
%A Uttam D. Kolekar
%T High Frequency Component based Addition Algorithm of Digital Image Watermarking
%J International Journal of Computer Applications
%@ 0975-8887
%V 50
%N 10
%P 30-34
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper gives the idea of the method digital image watermarking algorithm which is new popular topic for research. The Discrete wavelet is the tool used for digital image watermarking. Wavelet transform has been applied widely in watermarking research as its excellent multi-resolution analysis property. The watermark logo is embedded based on the frequency coefficients of the discrete wavelet transform. The detailed wavelet coefficients of high frequency band of the host image are altered by the watermark logo. The algorithm has been tested for different types of host images under the presence of attacks like Jpeg compression, bit planer reduction, cropping, warping etc. The watermark logo is added in the host image in frequency domain which gets spread over the whole part of the host image in time domain. The existing system is robust to provide the security.

References
  1. Barni Mauro, Bartolini Franco, Piva Alessandro 2001, "Improved Wavelet-Based Watermarking Through Pixel-Wise Masking", IEEE Transaction on Image Processing, pp. 783-791, Vol. 10, No. 5, May 2001.
  2. Premaratne Prashan, DeSilva Liyanage and Burnett Ian 2006, "Low Frequency Component-Based Watermarking Scheme Using 2D Datamatrix", International Journal of Information Technology, pp. 1-12, Vol. 12, No. 7, November 2006.
  3. Sharkas Maha, ElShafie Dahlia and Hamdy Nadder 2007, "A Dual Digital-Image Watermarking Technique", Journal of World Academy of Science, Engineering and Technology, pp. 136-139, Vol. 5, No. 1, May 2007.
  4. Essaouabi A. , Ibnelhaj E. and Regragui F. 2009, "Digital Image Watermarking for Arbitrarily Shaped Objects Based on SA-DWT", International Journal of Computer Science Issues, pp. 1-8, Vol. 5, No. 1, October 2009.
  5. Hajjara Suhad, Abdallah Moussa and Hudaib Amjad 2009, "Digital Image Watermarking Using Localized Biorthogonal Wavelets", European Journal of Scientific Research, pp. 594-608, Vol. 26, No. 4, February 2009.
  6. Tripathi Shikha, Ramesh Nishanth, Bernito and Neeraj K J 2010, "A DWT based Dual Image Watermarking Technique for Authenticity and Watermark Protection", International Journal of Signal and Image Processing, pp. 33-45, Vol. 1, No. 2, December 2010.
  7. Singh Akhil Pratap and Mishra Agya 2010, "Wavelet Based Watermarking on Digital Image", Indian Journal of Computer Science and Engineering, pp. 86-91, Vol. 1, No. 2, August-September 2010.
  8. Kumar Amitesh and Santhi V. 2011, "A Review on Geometric Invariant Digital Image Watermarking Techniques", International Journal of Computer Applications, pp. 0975–8887, Vol. 12, No. 9, January 2011.
  9. Zhang Fan and Zhang Hongbin 2004. "Image Digital Watermarking Capacity and Reliability Analysis in Wavelet Domain", IEEE Proceedings of 47th Midwest symposium on Circuits and Systems, pp. 101-104, Jul 2004.
Index Terms

Computer Science
Information Sciences

Keywords

Correlation Coefficients Discrete Wavelet Transform Inverse Discrete Wavelet Transform Mean Square Error Peak Signal to Noise Ratio

Powered by PhDFocusTM