2009 | OriginalPaper | Buchkapitel
Image Quality Assessment Using Phase Spectrum Correlation
verfasst von : Przemysław Skurowski, Aleksandra Gruca
Erschienen in: Computer Vision and Graphics
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.