M.A. Ben Ayed, A. Samet, M. Loulou, and N. Masmoudi (Tunisia)
image quality assessment, human visualsystem (HVS), mean squared error (MSE), weightedmean squared error (WMSE).
Compression of digital images has been studied for
many years. However, algorithms have been designed
and optimized based on simple error measures like peak
signal-to-noise ratio (PSNR) despite the fact that such
measures correlate poorly with perceived quality. The
problem is that PSNR does not take into account
viewing conditions and the comportment of the human
visual system (HVS). These problems necessitate
methods of objective quality assessment. Ideally, such a
system would perceive and measure impairments just
like a human being. This paper presents a quality metric
for image: weighted mean squared error.