Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Display Technology
  • Vol. 12,
  • Issue 6,
  • pp. 532-541
  • (2016)

A Study on the Relationship Between Event-Related Potentials and Image Quality Variation

Not Accessible

Your library or personal account may give you access

Abstract

The relationship between event-related potentials (ERPs) and image quality variation was studied in this paper. Two independent image attributes, white level (WL) and color saturation (CS), were used as two alterable parameters for changing image quality. The corresponding images were presented to subjects, and subjects were asked to indicate whether they had perceived a quality change. The results showed that the perceivable impairment of image quality elicited measurable ERPs (the so-called P300 component) at latency of about 300–550 ms for all subjects. The more degraded the image quality, the earlier and higher the P300 is rising. The latency and amplitude of ERPs changed with the image quality caused by different WL and CS logarithmically. In addition, the peak amplitudes and latency are highly correlated with the rating results obtained in rating experiment. The corresponding regression functions matched well, which proved the reasonability of utilizing ERPs in assessing image quality.

© 2016 IEEE

PDF Article
More Like This
Color categories only affect post-perceptual processes when same- and different-category colors are equally discriminable

Xun He, Christoph Witzel, Lewis Forder, Alexandra Clifford, and Anna Franklin
J. Opt. Soc. Am. A 31(4) A322-A331 (2014)

Relationship between microscanned image quality and fill factor of detectors

Xiao-rui Wang, Jian-qi Zhang, Zhuo-Xiang Feng, and Hong-Hua Chang
Appl. Opt. 44(21) 4470-4474 (2005)

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

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.