Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Comprehensive model for predicting perceptual image quality of smart mobile devices

Not Accessible

Your library or personal account may give you access

Abstract

An image quality model for smart mobile devices was proposed based on visual assessments of several image quality attributes. A series of psychophysical experiments were carried out on two kinds of smart mobile devices, i.e., smart phones and tablet computers, in which naturalness, colorfulness, brightness, contrast, sharpness, clearness, and overall image quality were visually evaluated under three lighting environments via categorical judgment method for various application types of test images. On the basis of Pearson correlation coefficients and factor analysis, the overall image quality could first be predicted by its two constituent attributes with multiple linear regression functions for different types of images, respectively, and then the mathematical expressions were built to link the constituent image quality attributes with the physical parameters of smart mobile devices and image appearance factors. The procedure and algorithms were applicable to various smart mobile devices, different lighting conditions, and multiple types of images, and performance was verified by the visual data.

© 2014 Optical Society of America

Full Article  |  PDF Article
More Like This
Factors affecting the psychophysical image quality evaluation of mobile phone displays: the case of transmissive liquid-crystal displays

Youn Jin Kim, M. Ronnier Luo, Wonhee Choe, Hong Suk Kim, Seung Ok Park, Yeseul Baek, Peter Rhodes, Seongdeok Lee, and Chang Yeong Kim
J. Opt. Soc. Am. A 25(9) 2215-2222 (2008)

No-reference image quality metrics for color domain modified images

Muhammad Usman Khan, Ming Ronnier Luo, and Dalin Tian
J. Opt. Soc. Am. A 39(6) B65-B77 (2022)

Toward a unified model for predicting color quality of light sources

Fuzheng Zhang, Haisong Xu, and Heng Feng
Appl. Opt. 56(29) 8186-8195 (2017)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (4)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Tables (4)

You do not have subscription access to this journal. Article tables are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (14)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved