IEEE Signal Processing Letters,
vol. 9, no. 3, pp. 81-84, March 2002
A Universal Image Quality
Index
Laboratory for Image and Video Engineering (LIVE),
Department of Electrical and Computer Engineering, The University of Texas at
Austin, Austin, TX 78712-1084
Abstract: We propose a new universal objective image
quality index, which is easy to calculate and applicable to various image
processing applications. Instead of using traditional error summation methods,
the proposed index is designed by modeling any image distortion as a
combination of three factors: loss of correlation, luminance distortion, and
contrast distortion. Although the new index is mathematically defined and no
human visual system model is explicitly employed, experiments on various image
distortion types show that it exhibits surprising consistency with subjective
quality measurement. It performs significantly better than the widely used
distortion metric mean squared error.
Index
Terms
– image quality measurement, human visual system (HVS), mean squared error
(MSE)