Description
An image quality investigation in visible spectral imaging was performed. Spectral images were simulated using different number of imaging channels, wavelength steps, and noise levels based on practical spectral imaging systems. A mean opinion score (MOS) was determined from a subjective visual assessment scale experiment for image quality of spectral images rendered to a three-channel display. A set of partial image distortion measures, including color difference for color images, were defined based on classified and quantified actual distortions produced by spectral imaging systems. Principal components analysis was then carried out to quantify the correlation between distortion factors. Finally, a multiple regression analysis (MRA) was carried out between the principal component vectors and the measured MOS values to determine the picture quality scale (PQS). The obtained quality metric, PQS, had high correlation with the subjective measure, MOS. The importance of contribution of the distortion factors in the image quality metric was also evaluated.
Date of creation, presentation, or exhibit
11-3-2003
Document Type
Conference Paper
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Recommended Citation
Sun, Qun and Fairchild, Mark, "Application of PQS for image quality analysis in visible spectral imaging" (2003). Accessed from
https://repository.rit.edu/other/150
Campus
RIT – Main Campus
Comments
IS&T: Eleventh Color Imaging Conference: Color Science and Engineering Systems, Technologies, Applications 11 (2003) 132-136 Location: Scottsdale, Arizona - Publisher book can be found here: http://www.imaging.org/store/physpub.cfm?seriesid=4&pubid=303 ISBN: 0-89208-248-8Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works in February 2014.