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Color Image Fidelity Metrics Evaluated Using Image Distortion Maps by Xuemei Zhang; Brian A. Wandell is a Computer Science article available to read on EtoBox.

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Several color image fidelity metrics are evaluated by comparing the metric predictions to empirical measurements. Subjects examined image pairs consisting of an original and a reproduction. They marked locations on the reproduction that differed detectably from the original. We refer to the distribution of error marks by the subjects as image distortion maps. The empirically obtained image distortion maps are compared to the predicited visible difference calculated using (1) the widely used root mean square error (point-by-point RMS) computed in uncalibrated RGB values, (2) the point-bypoint CIELAB E values (CIE, 1994) and(3) S-CIELAB E , a spatial extension of CIELAB E metric. The uncalibrated RMS metric did not predict the perceptual image distortion data well. The point-by-point CIELAB E metric provided better predictions, and the S-CIELAB metric, which incorporated the spatial color sensitivity of the eye, gave the most accurate predictions. None of the metrics provided an excellent fit to the data. Image areas with poor predictions were concentrated in regions containing large negative local contrast. When these areas were excluded from our data analysis, both S-CIELAB and CIE

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Author

Xuemei Zhang; Brian A. Wandell

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0165-1684)

Published

1998

Language

EN

Field

Computer Science (Physical Sciences)