@article{(Open Science Index):https://publications.waset.org/pdf/14321,
	  title     = {Quality Estimation of Video Transmitted overan Additive WGN Channel based on Digital Watermarking and Wavelet Transform},
	  author    = {Mohamed S. El-Mahallawy and  Attalah Hashad and  Hazem Hassan Ali and  Heba Sami Zaky},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents an evaluation for a wavelet-based
digital watermarking technique used in estimating the quality of
video sequences transmitted over Additive White Gaussian Noise
(AWGN) channel in terms of a classical objective metric, such as
Peak Signal-to-Noise Ratio (PSNR) without the need of the original
video. In this method, a watermark is embedded into the Discrete
Wavelet Transform (DWT) domain of the original video frames
using a quantization method. The degradation of the extracted
watermark can be used to estimate the video quality in terms of
PSNR with good accuracy. We calculated PSNR for video frames
contaminated with AWGN and compared the values with those
estimated using the Watermarking-DWT based approach. It is found
that the calculated and estimated quality measures of the video
frames are highly correlated, suggesting that this method can provide
a good quality measure for video frames transmitted over AWGN
channel without the need of the original video.},
	    journal   = {International Journal of Electronics and Communication Engineering},
	  volume    = {3},
	  number    = {9},
	  year      = {2009},
	  pages     = {1695 - 1699},
	  ee        = {https://publications.waset.org/pdf/14321},
	  url   	= {https://publications.waset.org/vol/33},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 33, 2009},
	}