A Hybrid Non Blind Video Watermarking Scheme Based on DWPT and PCA

Shital Khaparde, Shanta Sondor

Abstract: This paper present a novel hybrid watermarking technique which combine two watermarking methods Discrete Wavelet Packet Transform (DWPT) and Principle Component Analysis (PCA). It embed a binary logo watermark into video frames. Combining the two transforms improved the performance of the watermarking algorithm. The performance can be evaluated in terms of the imperceptibility and robustness against various attacks such as contrast adjustment, noise addition and geometric attacks. The Peak-Signal-To-Noise Ratio (PSNR) used to measure the visual quality of watermarked video. NC is the normalized correlation between the original and the extracted watermark. Experimental results has shown no visible difference between the watermarked frames and the original frames, and shown the robustness against a wide range of attacks such as Gaussian noise addition, histogram equalization, salt and paper noise, contrast adjustment, JPEG compression, cropping, resizing, rotation, frame dropping, frame averaging, frame swapping etc.

Keywords: Principal Component Analysis PCA, Discrete Wavelet Packet Transform DWPT, Peak-Signal-To-Noise Ratio PSNR, Normalized correlation NC

How to Cite?: Shital Khaparde, Shanta Sondor, "A Hybrid Non Blind Video Watermarking Scheme Based on DWPT and PCA", Volume 5 Issue 4, April 2016, International Journal of Science and Research (IJSR), Pages: 1625-1628, https://www.ijsr.net/getabstract.php?paperid=NOV162934, DOI: https://dx.doi.org/10.21275/NOV162934