Image quality metric based on multidimensional contrast perception models
A.M. Pons, J. Malo, J.M. Artigas and P.Capilla
Displays Journal, Vol. 20, pp. 93-110. (1999)


The procedure to compute the subjective difference between two input images should be equivalent to a straightforward difference between their perceived versions, so reliable subjective difference metrics must be founded on a proper perception model. For image distortion evaluation purposes perception can be considered as a set of signal transforms that successively map the original image in the spatial domain into a feature space and a response space. The properties of the spatial pattern analyzers involved in these transforms determine the geometry of these different signal representation domains.

In this work the general relations between the sensitivity of the human visual system and the perceptual geometry of the different representation spaces are presented. This general formalism is particularized through a novel physiological model of response summation of cortical cells that reproduces the psychophysical data of contrast incremental thresholds. In this way, a procedure to compute subjective distances between images in any representation domain is obtained. The reliability of the proposed scheme is tested in two different contexts: on one hand it reproduces the results of suprathreshold contrast matching experiences and subjective contrast scales, and, on the other hand provides a theoretical background that generalizes our previous perceptual difference model [Im.Vis.Comp.,Vol.15, 7, 1997] whose outputs are linearly related to experimental subjective assessment of distortion.

Key Words: 
Subjective image distortion metric. Information allocation by the human viewer. Contrast response model.

References: 59

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