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