IMPROVING THE PERFORMANCE OF NO-REFERENCE IMAGE QUALITY ASSESSMENT ALGORITHM FOR CONTRAST-DISTORTED IMAGES USING NATURAL SCENE STATISTICS

IMPROVING THE PERFORMANCE OF NO-REFERENCE IMAGE QUALITY ASSESSMENT ALGORITHM FOR CONTRAST-DISTORTED IMAGES USING NATURAL SCENE STATISTICS

This study was made to explore the role of two color feature in improving the performance of the existing No-Reference Image Quality Assessment Algorithm for Contrast-Distorted Images (NR-IQA-CDI). The color features used were Colorfulness and Naturalness of color expressed in CIELab and CIELuv colo...

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Bibliographic Details
Main Authors: Yusra Al-Najjar, Chen Soong Der
Format: Article
Language:English
Published: Scientific Research Support Fund of Jordan (SRSF) and Princess Sumaya University for Technology (PSUT) 2017-12-01
Series:Jordanian Journal of Computers and Information Technology
Subjects:
NR-IQA-CDI
Colorfulness
Naturalness
Contrast Distortion
NSS
Online Access:http://jjcit.org/Volume%2003,%20Number%2003/5-DOI%2010.5455-jjcit.71-1508259295.pdf

Internet

http://jjcit.org/Volume%2003,%20Number%2003/5-DOI%2010.5455-jjcit.71-1508259295.pdf

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