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Analysis of Wavelets with Watermarking through Wavelet Transformation

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 96 - Number 22
Year of Publication: 2014
Tarun Kumar

Manupriya and Tarun Kumar. Article: Analysis of Wavelets with Watermarking through Wavelet Transformation. International Journal of Computer Applications 96(22):17-22, June 2014. Full text available. BibTeX

	author = {Manupriya and Tarun Kumar},
	title = {Article: Analysis of Wavelets with Watermarking through Wavelet Transformation},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {96},
	number = {22},
	pages = {17-22},
	month = {June},
	note = {Full text available}


Digital Watermarking has become essential in today's scenario because lots of digital data has become distributed all over the internet. The access to internet has become very simple and inexpensive for users in the past 15 years due to the rapid technological advancement. Therefore the possibility for the various digital attacks like forgery, damaging the digital data, stealing, copying and alteration of the digital information has also increased. In such situations, it has become significant to use a protecting mechanism that can protect the digital data and its copyright protection of the owner of digital data. Digital watermarking is a very efficient solution to this problem. Digital watermarking is a technique that embeds a watermark in the host digital data that stores the copyright information about the data. The proposed watermarking scheme is implemented in frequency domain using wavelet transform. In this paper, db wavelets are analyzed for the watermarking schemes. There are 45 db wavelets, each of them is analyzed with respect to watermarking scheme and resultant db wavelets are given as the output which wavelets are supporting the watermarking scheme. Each of the resultant wavelet is tested against the quality parameter such as Mean Square Error, Maximum Difference, and Normalized Cross Correlation, Structural Count, and Normalized Absolute Error and Peak-Signal-To-Noise ratio.


  • H. B. Kekre, Tanuja Sarode, Shachi Natu 2014, "Robust Watermarking Scheme using Column DCT Wavelet Transform under Various Attacks", International Journal on Computer Science and Engineering (IJCSE), 2014.
  • Shamsul Kamal Ahmad Khalid, Mustafa Mat Deris, Kamaruddin Malik Mohamad,2013"A Robust Digital Image Watermarking against Salt and Pepper using Sudoku", SDIWC ISBN: 978-0-9891305-2-3, 2013.
  • Khaled Loukhaoukha 2013," Image Watermarking Algorithm Based on Multiobjective Ant Colony Optimization and Singular Value Decomposition in Wavelet Domain", Hindawi Publishing Corporation Journal of Optimization Volume 2013.
  • G. Dayalin Leena, S. Selva Dhayanithy 2013," Robust Image Watermarking in Frequency Domain", International Journal of Innovation and Applied Studies ISSN 2028-9324 Vol. 2 No. 4 Apr. 2013.
  • Cuiwei He1, Mohammad Reza Asharif1, Carlos Enrique Gutierrez1 Mahdi Khosravy, Katsumi Yamashita3 and Rui Chen4," A New Robust Image Watermarking Algorithm Based On DWT-SVD AND Arnold Scrambling", ICIC International c 2013 ISSN 1881-803X Volume 7, Number 4, April 2013.
  • Mona M. Soliman, Aboul Ella Hassanien, Neveen I. Ghali, Hoda M. Onsi 2012," An adaptive Watermarking Approach for Medical Imaging Using Swarm Intelligent", International Journal of Smart Home Vol. 6, No. 1, January, 2012.
  • Jonathan Blake 2011 , Shahram Latifi," Digital Watermarking Security", Defence Science Journal, Vol. 61, No. 5, September 2011, pp. 408-414,2011.
  • Raval, M. S. , Rege, P. P. 2003, "Discrete wavelet transform based multiple watermarking scheme", Conference on Convergent Technologies for Asia-Pacific Region, TENCON 2003, vol. 3, pp. 935 – 938, 15- 17 Oct. 2003.
  • Manjit Thapa, Sandeep Kumar Sood 2011," On Secure Digital Image Watermarking Techniques", Journal of Information Security, 2011
  • Satyanarayana Murty. P, Hima Bindu. R, Rajesh Kumar. P 2012,"A Novel Semi-Blind Reference Color Image Watermarking using DWT-DCT-SVD", International Journal of Computer Applications (0975 – 8887) Volume 53– No. 15, September 2012.
  • Rama Seshagiri Rao Channapragada, Anil Srimanth Mantha, Munaga V. N. K. Prasad," Study Of Digital Watermarking Techniques", IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 1, November 2012
  • Ning Bi, Qiyu Sun, Daren Huang, Zhihua Yang, and Jiwu Huang," Robust Image Watermarking Based on Multiband Wavelets and Empirical Mode Decomposition", IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 16, NO. 8, AUGUST 2007.
  • Evelyn Brannock, Michael Weeks, Robert Harrison," The Effect of Wavelet Families on Watermarking", Journal of Computers, VOL. 4, NO. 6, JUNE 2009.
  • Dr. Ajit, Preeti Kalra, Sonia Dhull," Digital Watermarking", International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 4, April 2013.
  • Dr. S. S. Bedi1, Mrs. Jyoti Agarwal2, Pankaj Agarwal3, "Image Fusion Techniques and Quality Assessment Parameters for Clinical Diagnosis: A Review", International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 2, February 2013.
  • I. R. Farah, I. B. Ismail, and M. B. Ahmed," A Watermarking System Using the Wavelet Technique for Satellite Images", World Academy of Science, Engineering and Technology Vol: 2 2008-05-28.