Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Filter model for lightness and brightness on different backgrounds.

P L Emerson, C C Semmelroth

Journal of the Optical Society of America

|October 1, 1975

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Adjustment of the munsell-value and w*-scales to uniform lightness steps for various background reflectances.

Applied optics·2010

Same author

A generalized visual latency explanation of the Pulfrich phenomenon.

Perception & psychophysics·1992

Same author

A quadrature method for Bayesian sequential threshold estimation.

Perception & psychophysics·1986

Same author

Are there any psychophysical applications of single-observation confidence intervals?

Perception & psychophysics·1986

Same author

Observations on maximum-likelihood and Bayesian methods of forced-choice sequential threshold estimation.

Perception & psychophysics·1986

Same author

Observations on a maximum likelihood method of sequential threshold estimation and a simplified approximation.

Perception & psychophysics·1984

Same journal

Response curves for types of vision according to the Müller theory.

Journal of the Optical Society of America·2010

Same journal

Reading equipment for partially blind people.

Journal of the Optical Society of America·2010

Same journal

Effects of anoxia, oxygen, and increased intrapulmonary pressure on dark adaptation.

Journal of the Optical Society of America·2010

Same journal

Investigations on the site of origin of blackout in man.

Journal of the Optical Society of America·2010

Same journal

The ultraviolet absorption spectra and other physical data for cardiolipin, a new phospholipid, and lecithin isolated from beef heart.

Journal of the Optical Society of America·2010

Same journal

The effect of colored lenses upon color discrimination.

Journal of the Optical Society of America·2010

See all related articles

This study introduces a filter model explaining how background light affects perceived brightness. It highlights a "crispening effect" where brightness changes rapidly when target light matches background light, due to neural inhibition.

Area of Science:

Visual perception
Computational neuroscience
Image processing

Background:

Background luminance significantly influences perceived brightness and lightness.
The 'crispening effect' describes a localized increase in brightness change rate.
This effect is particularly noticeable when target luminance equals background luminance.

Purpose of the Study:

To propose a filter model that explains the impact of background luminance on perceived brightness.
To specifically address and model the crispening effect observed in visual perception.
To elucidate the underlying neural mechanisms contributing to these perceptual phenomena.

Main Methods:

Development of a filter model incorporating background luminance effects.
Mathematical formulation of mutual-shunting-feedback inhibition between target and surround areas.

Related Experiment Videos

Analysis of the model's prediction of the crispening effect.

Main Results:

The proposed filter model successfully accounts for background luminance effects on perceived brightness.
The model accurately predicts the crispening effect, characterized by an accelerated rate of brightness change.
Mutual-shunting-feedback inhibition is identified as a key mechanism driving the observed perceptual phenomena.

Conclusions:

The filter model provides a viable framework for understanding luminance perception.
Neural competition, specifically mutual-shunting-feedback inhibition, is crucial for explaining the crispening effect.
This model advances our understanding of how visual systems process luminance information in complex backgrounds.