Identification of optimum transforms for evaluating perceptual image quality scores using objective metrics

Nitin Suresh; Quanzeng Wang

doi:10.1364/FIO.2017.JTu2A.10

Frontiers in Optics 2017
OSA Technical Digest (online) (Optica Publishing Group, 2017),
paper JTu2A.10
•https://doi.org/10.1364/FIO.2017.JTu2A.10

Identification of optimum transforms for evaluating perceptual image quality scores using objective metrics

Nitin Suresh and Quanzeng Wang

Frontiers in Optics 2017

Washington, D.C. United States
18–21 September 2017
ISBN: 978-1-943580-33-0

From the session
Joint Poster Session I (JTu2A)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
N. Suresh and Q. Wang, "Identification of optimum transforms for evaluating perceptual image quality scores using objective metrics," in Frontiers in Optics 2017, OSA Technical Digest (online) (Optica Publishing Group, 2017), paper JTu2A.10.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Abstract

Regression models for conversion of objective quality metrics to perceptual scores are identified. These models depend on the distortion type present in the image, and an ensemble of metrics is best suited for overall evaluation.

PDF Article

More Like This

Perceptual Image Quality Metrics

Jacques A. J. Roufs, Huib de Ridder, and Joyce Westerink
ThA2 Applied Vision (AV) 1989

Quality Metrics for Atmospherically Distorted Images

Donald McGaughey and Guy Potvin
PTu4C.2 Propagation Through and Characterization of Atmospheric and Oceanic Phenomena (pcAOP) 2021

Image Quality Assessment: How Blind is Blind?

Alan C. Bovik
JM1A.2 Applied Industrial Optics: Spectroscopy, Imaging and Metrology (AIO) 2012

Previous Article Next Article