Wavelet Packet Based Video Watermarking and Extraction Using Independent Component Analysis - Volume 7, No. 3, August 2016 - JAIT
1. How to submit my research paper? What’s the process of publication of my paper?
The journal receives submitted manuscripts via email only. Please submit your research paper in .doc or .pdf format to the submission email: jait@etpub.com.
2.Can I submit an abstract?
The journal publishes full research papers. So only full paper submission should be considered for possible publication. Papers with insufficient content may be rejected as well, make sure your paper is sufficient enough to be published...[Read More]

Wavelet Packet Based Video Watermarking and Extraction Using Independent Component Analysis

S. Elango 1, G. Thirugnanam 2 , and P. Mangaiyarkarasi 2
1. Department of ECE, Arunai Engineering College, Tiruvannamalai, India
2. Department of Instrumentation Engineering, Annamalai University
Abstract—Due to the widespread use of digital media applications, multimedia refuge and the copyright protection has grown incredible important. Digital watermarking is a technology used for the copyright protection of digital application. Many literatures have reported about Discrete Wavelet Transform (DWT) based watermarking techniques for data security. However, DWT based watermarking schemes are found to be less robust against video processing attacks. Hence in this paper, an attempt is made to develop a video watermarking scheme based on Wavelet Packet Transform (WPT) and extraction using Independent Component Analysis (ICA). The real time multimedia video sequence is converted into video frames, each frame is decomposed into various sub-bands using WPT. The watermark is embedded in a particular wavelet packet sub-band based on the value of Peak Signal to Noise Ratio (PSNR) that is calculated between watermarked and original image. Embedding in WPT sub-bands enhanced the performance of the video watermarking technique than DWT. The proposed scheme generates high PSNR value even in the presence of salt & pepper noise and rotation. An intelligent blind technique namely, ICA is implemented for extracting the watermark. From the simulation results, it is revealed that wavelet packet transform performs better when compared to DWT.

Index Terms—video watermarking, wavelet transform, independent component analysis

Cite: S. Elango, G. Thirugnanam, and P. Mangaiyarkarasi, "Wavelet Packet Based Video Watermarking and Extraction Using Independent Component Analysis," Vol. 7, No. 3, pp. 156-160, August, 2016. doi: 10.12720/jait.7.3.156-160
Copyright © 2013-2018 Journal of Advances in Information Technology, All Rights Reserved
E-mail: jait@etpub.com