Image Quality Assessment Using Phase Spectrum Correlation

Authors:
Przemysław Skurowski;Aleksandra Gruca
Affiliations:
Institute of Informatics, Silesian University of Technology, Gliwice, Poland 44-100;Institute of Informatics, Silesian University of Technology, Gliwice, Poland 44-100
Venue:
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
Year:
2008

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Abstract

This paper presents the method of evaluating the image quality using similarity of images phase spectrum. The authors introduce phase correlation coefficient as an objective measure of an image quality index which is compared to the subjective distortion evaluation using stimulus impairment scale. Artificially distorted images produced by proportional mixing of images phase spectra with a noise were used for testing purposes. The results are the mean correlation coefficient values related to the mean opinion score grades. The obtained relation between human responses and phase correlation is linear.