FQI: feature-based reduced-reference image quality assessment method for screen content images

• Published in: IET image processing Vol. 13; no. 7; pp. 1170 - 1180
• Main Authors: Rahul, Kumar, Tiwari, Anil Kumar
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.05.2019; Wiley
• Subjects: distance calculations; distorted image; feature extraction; feature matching process; feature‐based reduced‐reference image quality assessment method; feature‐quality‐index; FQI; full‐reference IQA techniques; human visual system; image matching; matched features; preserved features; QACS benchmark database; reduced feature extraction; reduced number; reduced‐distance method; Research Article; screen content images; SIQAD benchmark database; feature matching process; human visual system; feature-based reduced-reference image quality assessment method; full-reference IQA techniques; matched features; reduced-distance method; distorted image; reduced feature extraction; distance calculations; image matching; SIQAD benchmark database; reduced number; preserved features; feature extraction; QACS benchmark database; feature-quality-index; screen content images; FQI

In this study, a reduced-reference image-quality-assessment (IQA) method for screen content images, named as feature-quality-index (FQI) is proposed. The proposed method is based on the fact that the human visual system is more sensitive towards change in features than intensity or structure. Reduce...