Title :
No-Reference Estimation of the Coding PSNR for H.264-Coded Sequences
Author_Institution :
Inst. for Commun., Braunschweig Tech. Univ., Braunschweig
fDate :
5/1/2007 12:00:00 AM
Abstract :
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.
Keywords :
image sequences; video coding; H.264-coded video sequences; PSNR coding; no-reference estimation; peak signal to noise ratio; Data mining; Distortion measurement; Humans; Image edge detection; Noise measurement; PSNR; Testing; Transform coding; Video sequences; Visual system;
Journal_Title :
Consumer Electronics, IEEE Transactions on
DOI :
10.1109/TCE.2007.381744
