Image quality assessment based on a degradation model

  title={Image quality assessment based on a degradation model},
  author={Niranjan Damera-Venkata and Thomas D. Kite and Wilson S. Geisler and Brian L. Evans and Alan Conrad Bovik},
  journal={IEEE transactions on image processing : a publication of the IEEE Signal Processing Society},
  volume={9 4},
  • N. Damera-VenkataT. Kite A. Bovik
  • Published 1 April 2000
  • Computer Science
  • IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
We model a degraded image as an original image that has been subject to linear frequency distortion and additive noise injection. Since the psychovisual effects of frequency distortion and noise injection are independent, we decouple these two sources of degradation and measure their effect on the human visual system. We develop a distortion measure (DM) of the effect of frequency distortion, and a noise quality measure (NQM) of the effect of additive noise. The NQM, which is based on Peli's… 

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