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

Related Concept Videos

Color Vision

Color Vision

Color perception begins in the retina, the light-sensitive layer at the back of the eye. Two main theories explain how colors are seen: the trichromatic theory and the opponent-process theory. The trichromatic theory, proposed by Thomas Young in 1802 and extended by Hermann von Helmholtz in 1852, suggests that color vision is based on three types of cone receptors in the retina. These cones are sensitive to different but overlapping ranges of wavelengths corresponding to red, blue, and green.

Perceptual Constancy

Perceptual Constancy

Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...

You might also read

Related Articles

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

Sort by

Same author

N-Phenyl indole derivatives as AT1 antagonists with anti-hypertension activities: Design, synthesis and biological evaluation.

European journal of medicinal chemistry·2016

Same author

Cefradine blocks solar-ultraviolet induced skin inflammation through direct inhibition of T-LAK cell-originated protein kinase.

Oncotarget·2016

Same author

Design, synthesis, cytotoxic activity and molecular docking studies of new 20(S)-sulfonylamidine camptothecin derivatives.

European journal of medicinal chemistry·2016

Same author

Label-free electrochemical immunosensor based on enhanced signal amplification between Au@Pd and CoFe2O4/graphene nanohybrid.

Scientific reports·2016

Same author

Recent Progress in Magnetic Resonance Imaging of the Embryonic and Neonatal Mouse Brain.

Frontiers in neuroanatomy·2016

Same author

Underuse of Primary Care in China: The Scale, Causes, and Solutions.

Journal of the American Board of Family Medicine : JABFM·2016

Search research articles

Related Experiment Video

Updated: Aug 16, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Multi illumination color constancy based on multi-scale supervision and single-scale estimation cascade convolution

Fei Wang^1,2, Wei Wang³, Dan Wu¹

¹School of Electronic Engineering, Xi'an Shiyou University, Xi'an, China.

Frontiers in Neuroinformatics

|December 26, 2022

Summary

This study introduces a novel cascade network (CN-DMS4) for multi-illumination estimation, overcoming limitations of uniform light source assumptions. The method improves accuracy in complex lighting scenarios, advancing computer vision research.

Keywords:

cascade color constancy convolution neural network multi-illumination multi-scale

More Related Videos

Revealing Neural Circuit Topography in Multi-Color

Revealing Neural Circuit Topography in Multi-Color

Published on: November 14, 2011

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

Related Experiment Videos

Last Updated: Aug 16, 2025

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

Revealing Neural Circuit Topography in Multi-Color

Revealing Neural Circuit Topography in Multi-Color

Published on: November 14, 2011

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Author Spotlight: Enhancing PSC-to-Functional Cell Differentiation Using ML Models Based on Live-Cell Bright-Field Imaging

Published on: October 4, 2024

Area of Science:

Computer Vision
Image Processing

Background:

Traditional color constancy methods assume uniform light sources, which is often unrealistic.
Real-world scenes frequently feature multiple illuminations, violating this simplifying assumption.

Purpose of the Study:

To propose a novel deep learning network for accurate multi-illumination estimation.
To address the challenges posed by non-uniform and multiple light sources in image analysis.

Main Methods:

Developed a cascade network of deep multi-scale supervision and single-scale estimation (CN-DMS4).
Implemented a coarse-to-fine training strategy, estimating only the final illumination map.
Designed a new loss function incorporating a channel penalty term to mitigate color channel influence.

Main Results:

The CN-DMS4 network demonstrated partial improvements in quantitative data and visual effects compared to existing methods.
Experiments were conducted on both single and multi-illumination benchmark datasets, validating the approach.
The proposed method shows promise for end-to-end multi-illumination estimation.

Conclusions:

The proposed CN-DMS4 network offers a viable solution for estimating illumination in scenes with multiple light sources.
The novel loss function effectively reduces color channel bias in illumination estimation.
This research paves the way for future advancements in robust multi-illumination estimation techniques.