Abstract
The recent availability of inexpensive digital recording and storage devices have created an environment to obtain, replicate and distribute digital content without any loss in quality. Hence copyright protection and authentication have become inevitable. Leading to a need, to develop an efficient scheme for video watermarking, involving 2-level discrete wavelet transform (DWT) and proficient decomposition technique of singular value decomposition (SVD). Performance parameters like processing time, peak signal to noise ratio (PSNR) and normalized correlation (NC) are compared for non-blind and blind watermarking techniques. Focusing the PSNR and NC values are obtained as an average value of 40 dB and 0.99 respectively, when subjected to formidable noise attacks such as geometrical, filtering, salt and pepper noises. Range conversion method improves PSNR for challenging attacks like salt and pepper, Gaussian and Gamma noises.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Abdullah MFL, Elrowayathi AA, Manaf AA, Zubi ZS (2015) Recent methods and techniques in video watermarking and their applicability to the next generation video codec. J Theor Inf Technol 74(1):93–103
Asikuzzaman M, Alam MJ, Lambert AJ, Pickering MR (2012) A blind digital video watermarking scheme with enhanced robustness to geometric distortion, In: IEEE international conference on digital image computing techniques and applications (DICTA). https://doi.org/10.1109/DICTA.2012.6411696
Asikuzzaman M, Alam MJ, Lambert AJ, Pickering MR (2014) Imperceptible and robust blind video watermarking using chrominance embedding: a set of approaches in the DT-CWT domain. IEEE Trans Inf Forensics Sec 9(9):1502–1517
Azizi S, Mohrekesh M, Samavi S (2013) Hybrid image watermarking using local complexity variations. 978-1-4673-5634-3/13, IEEE
Bao P, Ma X (2005) Image adaptive watermarking using wavelet domain Singular value decomposition. IEEE Trans Circ Syst Video Technol 15(1):96–102
Chang CC, Tsai P, Lin CC (2005) SVD-based digital image Watermarkingscheme. Pattern Recognit Lett 26(10):1577–1586
Coria LE, Pickering MR, Nasiopoulos P, Ward RK (2008) A video watermarking scheme based on the dual-tree complex wavelet transform. Inf Forensics Secur IEEE Trans 3(3):466–474
Geetha K, Rajan C (2016) Automatic colorectal polyp detection in colonoscopy video frames. Asian Pac J Cancer Prev 17(11):4869–4873
Gopika, Chiddarwar (2013) Review paper on video watermarking techniques. Int J Sci Res Publ 3:1–5
Gunjal Baisa L et al (2015) MEO based secured, robust, high capacity and perceptual quality image watermarking in DWT-SVD domain. Springer Plus 4:126. https://doi.org/10.1186/s40064-015-0904-z
Haribabu M, Bindu CH, Swamy KV (2016) A secure and invisible image watermarking scheme based on wavelet transform in HSI color space. In: International conference on advances in computing and communication (ICACC), proceeding in science direct
Lee MJ et al (2012) Real-time video watermarking system on the Compressed domain for high definition video contents: Practical Issues. Dig Signal Process 22(1):190–198
Makbol NM, Khoo BE, Rassem TH (2016) Block-based discrete wavelet transform-singular value decomposition image watermarking scheme using human visual system characteristics. IET Image Process 10(1):34–52. https://doi.org/10.1049/iet-ipr.2014.0965
Mishra S, Mahapatra A, Mishra P (2013) A survey on digital watermarking technique. Int J Comput Sci Informat Tech 4(3):451–456
Narwade NS, Deshmane NP, Elchatwar P, Pande PL (2013) Robust watermarking for geometric attacks using DFT. Int J Emerg Trends Technol Comput Sci 2(2):20–25
Rajab L, Al-Khatib T, Al-Haj A (2015) A blind DWT-SCHUR based digital video watermarking technique. J Softw Eng Appl 8:224–233
Rajurkar KA, Nanda SK (2015) A hybrid DWT, PCA and SVD based digital video watermarking scheme—a review. Int J Adv Res Comput Commun Eng 4(3):90–93
Rao R (2013) Video watermarking algorithm using the SVD transform. Int J Eng Res Dev 8(11):01–08
Sridhar B, Arun C (2016) An enhanced approach to video watermarking with multiple watermarks using wavelet. J Commun Technol Electron 61(2):165–175
Tsai H-H, Jhuanga Y-J, Lai Y-S (2012) An SVD-based image watermarking in the wavelet domain using SVR and PSO. Appl Soft Comput 12(8):2442–2453 (Elsevier)
Yassin NI, Salem NM, EI Away MI (2012) Block Based video watermarking scheme using wavelet transform and principal component analysis. Int J Sci (IJCSI) 9:296–301
Yassin NI, Salem NM, El Adway MI (2014) QIM blind video watermarking scheme based on wavelet transform and principal component analysis. Alexandria Eng J 53:833–842 (Elsevier)
Acknowledgements
A special thanks to Mr. Riteshkumar Sharma and Mr. Rahul Sharma, Scientists of Space Application Center, Indian Space Research Organisation (ISRO)-Ahmedabad, India, for giving the opportunity and constant support for the funded research project.
Funding
This project has been funded by Space Application Centre—Indian Space Research Organisation (ISRO) No. B.19012/76/2014-II Dated 26/11/2014.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Shanmugam, M., Chokkalingam, A. Performance analysis of 2 level DWT-SVD based non blind and blind video watermarking using range conversion method. Microsyst Technol 24, 4757–4765 (2018). https://doi.org/10.1007/s00542-018-3870-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00542-018-3870-x