Perceivable artifacts in compressed video and their relation to video quality
Image Communication
A versatile model for packet loss visibility and its application to packet prioritization
IEEE Transactions on Image Processing
No-reference analysis of decoded MPEG images for PSNR estimation and post-processing
Journal of Visual Communication and Image Representation
No-reference video monitoring image blur metric based on local gradient structure similarity
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
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In this article an algorithm for the evaluation of the picture quality of H.264-coded video sequences is introduced. As a measure of picture quality the peak signal to noise ratio (PSNR) is used. While the computation of the PSNR usually considers a reference signal in comparison to the distorted video sequence, the proposed algorithm uses the coded transform coefficients to estimate the PSNR in a statistical maimer. Thus, no reference signal is needed.