Call for Paper

CAE solicits original research papers for the July 2021 Edition. Last date of manuscript submission is June 30, 2021.

Read More

Digital Video Watermarking based on Different Wavelet Transform

Dhanashree S. Shedge, Aarti G. Ambekar. Published in Image Processing.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Dhanashree S. Shedge, Aarti G. Ambekar

Dhanashree S Shedge and Aarti G Ambekar. Digital Video Watermarking based on Different Wavelet Transform. Communications on Applied Electronics 5(10):37-41, September 2016. BibTeX

	author = {Dhanashree S. Shedge and Aarti G. Ambekar},
	title = {Digital Video Watermarking based on Different Wavelet Transform},
	journal = {Communications on Applied Electronics},
	issue_date = {September 2016},
	volume = {5},
	number = {10},
	month = {Sep},
	year = {2016},
	issn = {2394-4714},
	pages = {37-41},
	numpages = {5},
	url = {},
	doi = {10.5120/cae2016652387},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


In one's everyday life, web is developing and turned into an imperative part. Digital content can easily be downloaded, duplicated or altered. Digital content can be secured by number of ways. Digital Watermarking is one of the strategies for the insurance of Digital Content. Digital Watermarking is a plan of copyright protection in which a watermark data is embedded into cover image in such a way that the watermark data is not detected and it is invisible. A watermark will be an intellectual property rights is in the form of image, audio, text, numbers etc emerged into images, video files, audio files and other multimedia data having assured methods, approaches, algorithms. To protect the authentication and authorization rights, different wavelet transform based techniques have been proposed to making the watermarked data more robust, imperceptible and secure. In this work, watermarking has been done using SVD method, and comparison of Discrete wavelet transform (DWT) and Lifting wavelet transform(LWT). The results of the scheme are compared the imperceptibility and the robustness of the video frame, on the basis of the parameters such as, correlation coefficient (CC), peak signal to noise ratio (PSNR) and structural similarity index (SSIM ).


  1. Raghavendra K, Chetan K.R, “A Blind and Robust Watermarking Scheme with scrambled watermark for video authentication”, IEEE International Conference, p.p . 1-6, December 2009.
  2. Sanjana Sinha, Prajnat Bardhan, Swarnali Pramanick, Ankur Jagatramka, “ Digital Video Watermarking using Discrete Wavelet Transform and Principle Component Analysis”, International Journal of Wisdom based Computing, vol.1, August-2011.
  3. Tabassum, S.M. Mohidul Islam, “ A Digital Video Watermarking Technique based on identical frame extraction in 3-level DWT”, IEEE, 2012.
  4. Himanshu Agarwal, Rakesh Ahuja, S.S. Bedi, “Highly Robust and Imperceptible Luminance Based Hybrid Digital Video Watermarking Scheme for Ownership protection”, I.J. Image, Graphics and Signal Processing, p.p. 47-52, November 2012.
  5. Souvik Sarkar, K. Senthilkumar, “A Highly secured Digital Watermarking Algorithm for Binary Watermark using Lifting Wavelet Transform and Singular Value Decomposition”, IET Third International conference on sustainable energy and intelligent system, p.p. 1-5, Dec 2012.
  6. Swanirbhar Majumder, Tirtha Sankar Das, Souvik Sarkar and SubirKumar Sarkar, “SVD and Lifting Wavelet based Fragile ImageWatermarking, ACEEE International Journal on Signal & ImageProcessing, vol-2, no.1, Jan 2011.
  7. Pragya Agarwal, Arvind Kumar, Ankur Choudhary, “A Secure and Reliable Video Watermarking Technique”,International Conference on Computer and Computational Sciences,IEEE, ISBN: 978-1-4799-1819-5/2015.
  8. Prathik P, Rahul Krishna, Rahul Ajay Nafde, ShreeDarshan K, “ An Adaptive Blind Video Watermarking Technique based on SD-BPSO and DWT-SVD”, International Conference on Computer Communication and Informatics (ICCCI), January, 2013, Coimbatore, India.
  9. Bhavna Goel, Charu Agarwal, “An Optimized Un-compressed Video Watermarking Scheme based on SVD and DWT”, IEEE International Conference, p.p. 307-312, August 2013.


Discrete Wavelet Transform, Lifting Wavelet Transform, Singular Value Decomposition, Copyright Protection.