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Proceedings Paper

SCID: full reference spatial color image quality metric
Author(s): S. Ouni; M. Chambah; M. Herbin; E. Zagrouba
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Paper Abstract

The most used full reference image quality assessments are error-based methods. Thus, these measures are performed by pixel based difference metrics like Delta E ( E), MSE, PSNR, etc. Therefore, a local fidelity of the color is defined. However, these metrics does not correlate well with the perceived image quality. Indeed, they omit the properties of the HVS. Thus, they cannot be a reliable predictor of the perceived visual quality. All this metrics compute the differences pixel to pixel. Therefore, a local fidelity of the color is defined. However, the human visual system is rather sensitive to a global quality. In this paper, we present a novel full reference color metric that is based on characteristics of the human visual system by considering the notion of adjacency. This metric called SCID for Spatial Color Image Difference, is more perceptually correlated than other color differences such as Delta E. The suggested full reference metric is generic and independent of image distortion type. It can be used in different application such as: compression, restoration, etc.

Paper Details

Date Published: 19 January 2009
PDF: 11 pages
Proc. SPIE 7242, Image Quality and System Performance VI, 72420U (19 January 2009); doi: 10.1117/12.806031
Show Author Affiliations
S. Ouni, Univ. de Reims Champagne Ardenne (France)
M. Chambah, Univ. de Reims Champagne Ardenne (France)
M. Herbin, Univ. de Reims Champagne Ardenne (France)
E. Zagrouba, Institut Supérieur d’Informatique (Tunisia)


Published in SPIE Proceedings Vol. 7242:
Image Quality and System Performance VI
Susan P. Farnand; Frans Gaykema, Editor(s)

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