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

Filter model for lightness and brightness on different backgrounds

Not Accessible

Your library or personal account may give you access

Abstract

A filter model is proposed to account for the effects of background luminance on perceived brightness or lightness, of a target area. Special attention is focused on a crispening effect describable as a local increase of the rate of change of brightness with target luminance, as target luminance passes through the level of background luminance. The model is based on the assumption of competition, in the form of mutual-shunting-feedback inhibition, between target and surround.

© 1975 Optical Society of America

Full Article  |  PDF Article
More Like This
Prediction of Lightness and Brightness on Different Backgrounds

Carl C. Semmelroth
J. Opt. Soc. Am. 60(12) 1685-1689 (1970)

Towards an image-based brightness model for self-luminous stimuli

T. H. Phung, R. M. Spieringhs, K. A. G Smet, F. B. Leloup, and P. Hanselaer
Opt. Express 30(6) 9035-9052 (2022)

Difference Limen as a Function of Retinal Eccentricity and Background Brightness*

Patricia McBride Blough
J. Opt. Soc. Am. 48(10) 731-735 (1958)

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 (3)

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

Equations (8)

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, including rights for text and data mining and training of artificial technologies or similar technologies.