Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Display Technology
  • Vol. 10,
  • Issue 6,
  • pp. 470-477
  • (2014)

Relationship of Just Noticeable Difference (JND) in Black Level and White Level With Image Content

Not Accessible

Your library or personal account may give you access

Abstract

In this paper, we introduce a series of perception experiments to measure the just noticeable difference (JND) in black level (BL) and white level (WL) for natural image content under common viewing conditions. Based on these experiments the JND in BL is determined for 13 images and the JND in WL for 18 images. In both cases the JND is found to be image content dependent. To model this image content dependency, we evaluated various luminance characteristics of the whole image and of the main area of focus (AF) of the image. Regression analysis revealed that both JNDs are largely determined by the overall (average) luminance of the image weighted with the average luminance of the AF. The relationship of these two luminance contributions to the JND of BL and WL is proven to be stable for most types of image content.

© 2014 IEEE

PDF Article
More Like This
Extended just-noticeable difference for ultralow-luminance displays used in diagnostic imaging

Takushi Kawamorita, Tetsuya Yasuda, Takashi Ota, Tatsuya Iizuka, Makiko Miyasaka, Noritaka Mamorita, and Tomoya Handa
J. Opt. Soc. Am. A 41(4) 581-587 (2024)

Structure descriptor based on just noticeable difference for texture image classification

Xikui Miao, Wei Zhao, Xiaolong Li, and Xiaoyu Yang
Appl. Opt. 58(24) 6504-6512 (2019)

Multiple just-noticeable-difference-based no-reference stereoscopic image quality assessment

Zijin Gu, Yong Ding, Ruizhe Deng, Xiaodong Chen, and Andrey S. Krylov
Appl. Opt. 58(2) 340-352 (2019)

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.