Abstract
This paper presents a blind assessment of video quality called the no-reference video quality metric. The proposed scheme used video watermarking that involves 8x8 blocks of Haar and Daubechies (D4) wavelet transform within the RGB domain. However, several noise types have experimented, those are salt-and-pepper, Gaussian blur, Gaussian and distort ripple. In addition, JPEG compression has been tested within the proposed method. In this paper, a robust scheme is proposed against the attacks of swapping, frame dropping, statistical analysis and averaging. The experimental results of the proposed system give acceptable outcomes. The Daubechies4 filter has given a better result than Haar filter. The perceived video quality metric has been performed through Peak Signal to Noise Ratio (PSNR) and Root Mean Square (MSE) metric. Daubechies4 has given the best result as compared to Haar filter and Discrete Cosine Transform (DCT).
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