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An objective quality measure for still moncromatic DPCM-coded images

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2 Author(s)
Karlsson, E. ; Georgia Institute of Technology, Atlanta, Georgia ; Mersereau, R.M.

In this paper we present results from subjective tests done on a data base of distorted images where the distortion took the form of additive colored Gaussian noise. The results from these tests give further support for a filter bank model of the human visual system. The results also suggest that coding schemes employing noise-shaping techniques can give better results than ones that do not. An objective quality measure LINLNSNR is developed based on the subjective evaluations which correlates well with human performance.

Published in:

Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '83.  (Volume:8 )

Date of Conference:

Apr 1983