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

Review of Dual Watermarking on Digital Image

by Etti Mathur, Manish Mathuria
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 163 - Number 9
Year of Publication: 2017
Authors: Etti Mathur, Manish Mathuria
10.5120/ijca2017913733

Etti Mathur, Manish Mathuria . Review of Dual Watermarking on Digital Image. International Journal of Computer Applications. 163, 9 ( Apr 2017), 11-13. DOI=10.5120/ijca2017913733

@article{ 10.5120/ijca2017913733,
author = { Etti Mathur, Manish Mathuria },
title = { Review of Dual Watermarking on Digital Image },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 163 },
number = { 9 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 11-13 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume163/number9/27422-2017913733/ },
doi = { 10.5120/ijca2017913733 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:09:43.535349+05:30
%A Etti Mathur
%A Manish Mathuria
%T Review of Dual Watermarking on Digital Image
%J International Journal of Computer Applications
%@ 0975-8887
%V 163
%N 9
%P 11-13
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital Image Security is still or recent topic of research in computer science engineering. Images are sharing very frequently from one device to another device. Due to this functionality and features it is very complicated situation for all of the application users because users share their personal images publically. A very unsolvable problem is still there is no appropriate method for image security to identify ownership with the image sharing tool over the internet. The digital image watermarking is still appreciable and demandable techniques. Though it is still in research because it has to be utilizing with all the applications those work with images. This research is done to find the best digital watermarking technique to highly secure digital image form the illegal copies. The research work also done to analyze the possibilities of dual watermarking. Various standard research articles were studied and it is found that dual watermarking is possible with some situation. This research work motivates and offers different combinations on digital watermarking techniques in near future for efficient output of watermarking.

References
  1. Mauro Barni, Franco Bartolini, Vito Cappellini, lessandro Piva,” A DCT-DOMAIN SYSTEM FOR ROBUST IMAGE WATERMARKING”, Dipartimento di Ingegneria Elettronica, Universita, di Firenze, via di S. Marta, 3, 50139 Firenze, Italy received 3 February 1997; received in revised form 21 November 1997.
  2. Ranjeet Kumar Singh, Dilip Kumar Shaw and M. Javed Alam,” EXPERIMENTAL STUDIES OF LSB WATERMARKING WITH DIFFERENT NOISE”, Eleventh International Multi-Conference on Information Processing-2015 (IMCIP-2015).
  3. Puneet Kr Sharma and Rajni.” ANALYSIS OF IMAGE WATERMARKING USING LEAST SIGNIFICANT BIT ALGORITHM”, International Journal of Information Sciences and Techniques (IJIST) Vol.2, No.4, July 2012.
  4. Van Dijk, M. and Willems, F(May 15-16, 2001).: Embedding information in grayscale images. Proc. 22nd Symposium on Information and Communication Theory in the Benelux, pp. 147-154, Enschede, the Netherlands.
  5. A. Nikolaidis, S. Tsekeridou, A. Tefas, V Solachidi(Oct. 2001), “A survey on watermarking application scenarios and related attacks”, IEEE international Conference on Image Processing, Vol. 3, pp. 991– 993.
  6. Wu He-Jing,” A DCT Domain Image Watermarking Method Based on Matlab”, sop transactions on signal processing issn(pRINT): 2377-0538 issn(oNLINE): 2377-0546
  7. Frank Hartung, Martin Kutter(July 1999),“Multimedia Watermarking Techniques”, Proceedings of The IEEE, Vol. 87, No. 7, pp. 1085 – 1103.
Index Terms

Computer Science
Information Sciences

Keywords

Digital Image Digital Watermarking Discrete cosine transformation (DCT) least significant Bit (LSB) Discrete Wavelet transformation (DWT).

Powered by PhDFocusTM