Video Watermarking Method in Multiwavelet Domain and Extraction using Fast Ica

Abstract

A novel video watermarking method in multiwavelet domain is proposed in this paper. The special frequency band and property of image in multiwavelet domain are employed for the watermarking algorithm. The multimedia refuge and the copyright protection have grown incredibly important due to the vast usage of digital multimedia components. Many articles have reported about Discrete Wavelet Transform (DWT) for data security using watermarking techniques. However, they are found to be less robust against video processing attacks. To overcome this issue, an attempt is made to develop a video watermarking scheme based on Multiwavelet Transform 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 Multiwavelets. The watermark is embedded in a particular Multiwavelet sub-band based on the value of Peak Signal to Noise Ratio (PSNR) which is computed between the watermarked and the original image. Embedding in Multiwavelet sub-bands enhanced the performance of the video watermarking technique than Wavelet Packet Transform (WPT). The proposed scheme generates high PSNR value even in the presence of salt & pepper noise and rotation. An intelligent blind method namely, ICA is implemented for extracting the watermark. From the simulation results, it is revealed that wavelet packet transform performs better when compared to WPT.