Ubiquitous Computing and Communication Journal
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Abstract
Title: BLIND VIDEO DATA HIDING USING INTEGER WAVELET TRANSFORMS
Authors: Mr. S Abbas, Mr. E. A. Soleit, Mr. S. A. Ghoniemy
Abstract:
A proposed blind video data hiding approach, for embedding different types of data in video frames is presented. Video signal is a highly correlated signal, this correlation is stemming from two sources. The first one is the spatial correlation that results from inter-pixel correlation within each frame of the video sequence. The second one is the temporal correlation that results from the slow time varying nature of the video signals. In this paper integer wavelet transforms are used to exploit the spatial and temporal correlation in and between the video frames for minimizing the embedding distortion. The proposed work achieves zero bit error rate (BER) between the original and the recovered data. Using the one dimensional integer wavelet transform across the temporal axis gives superior results with a margin approximately above 2 dB in the sense of PSNR (Peak Signal to Noise Ratio) in comparison of using the two and three dimensional integer wavelet transforms. However, the one dimensional integer wavelet transform has the lowest computational costs.