A Novel Video Watermarking Scheme Based on DWT and PCA
Nidhi Chawla1, Vikram Singh2

1Nidhi Chawla, M.Tech. Scholar, Department of Computer Science and Engineering, Chaudhary Devi Lal University, Sirsa (Haryana), India.
2Vikram Singh, Professor, Department of Computer Science and Engineering, Chaudhary Devi Lal University, Sirsa (Haryana), India.

Manuscript received on 18 June 2018 | Revised Manuscript received on 27 June 2018 | Manuscript published on 30 June 2018 | PP: 62-68 | Volume-7 Issue-5, June 2018 | Retrieval Number: E5393067518/18©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Digital Video Watermarking is one of the great applications of hiding the data in the video for many kind of application like copyright information hiding, secure data travelling etc. Various watermarking techniques are popular in the research community e.g. Discrete wavelet transform (DWT), Discrete cosine transform (DCT), Principal component analysis (PCA). In this paper, Video Water Marking (VWM) scheme related to DWT and PCA is used.DWT and PCA are utilized in the proposed algorithm which enhances the watermarking embedding and decrypting technique. An Arnold’s cap map method has been introduced in the DWT mechanism due to which the algorithm become more robust and difficult for the attackers. Data are embedded in the LL –HH sub-band of wavelet coefficients and decoding is encountered based on difference and comparison of elements of the first principal component. The resultant video is unsusceptible to much kind of attacks like uniform, Gaussian Noise and Median Filtering.
Keywords: Principal Component Analysis (PCA), Watermarking, Frame Extraction, Discrete Wavelet transform (DWT), Visual Saliency.

Scope of the Article: Predictive Analysis