Performance analysis of 2 level DWT-SVD based non blind and blind video watermarking using range conversion method
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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.
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.
This project has been funded by Space Application Centre—Indian Space Research Organisation (ISRO) No. B.19012/76/2014-II Dated 26/11/2014.
- 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):93–103Google Scholar
- 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
- Azizi S, Mohrekesh M, Samavi S (2013) Hybrid image watermarking using local complexity variations. 978-1-4673-5634-3/13, IEEEGoogle Scholar
- Geetha K, Rajan C (2016) Automatic colorectal polyp detection in colonoscopy video frames. Asian Pac J Cancer Prev 17(11):4869–4873Google Scholar
- Gopika, Chiddarwar (2013) Review paper on video watermarking techniques. Int J Sci Res Publ 3:1–5Google Scholar
- 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 directGoogle Scholar
- Mishra S, Mahapatra A, Mishra P (2013) A survey on digital watermarking technique. Int J Comput Sci Informat Tech 4(3):451–456Google Scholar
- 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):20–25Google Scholar
- Rao R (2013) Video watermarking algorithm using the SVD transform. Int J Eng Res Dev 8(11):01–08Google Scholar
- Yassin NI, Salem NM, EI Away MI (2012) Block Based video watermarking scheme using wavelet transform and principal component analysis. Int J Sci (IJCSI) 9:296–301Google Scholar