Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Color Vision01:24

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.
Photoreceptors and Visual Pathways01:22

Photoreceptors and Visual Pathways

At the molecular level, visual signals trigger transformations in photopigment molecules, resulting in changes in the photoreceptor cell's membrane potential. The photon's energy level is denoted by its wavelength, with each specific wavelength of visible light associated with a distinct color. The spectral range of visible light, classified as electromagnetic radiation, spans from 380 to 720 nm. Electromagnetic radiation wavelengths exceeding 720 nm fall under the infrared category, whereas...

You might also read

Related Articles

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

Sort by
Same author

Correction to: Development and analysis of 49 perfluoroalkyl and polyfluoroalkyl substances (PFASs) in contact lenses using liquid chromatography‑tandem mass spectrometry (LC-MS/MS).

Analytical and bioanalytical chemistry·2025
Same author

Development and analysis of 49 perfluoroalkyl and polyfluoroalkyl substances (PFASs) in contact lenses using liquid chromatography-tandem mass spectrometry (LC-MS/MS).

Analytical and bioanalytical chemistry·2025
Same author

Cephalometric analysis following combined Sub-SMAS hyaluronic acid injection and subdermal and supraperiosteal poly-L-lactic acid injections in Asian women.

Journal of cosmetic dermatology·2021
Same author

Quantitative and objective measurements of facial aging process with anatomical landmarks.

Journal of cosmetic dermatology·2021
Same author

Photo Composition with Real-Time Rating.

Sensors (Basel, Switzerland)·2020
Same author

A Large-Area Nanoplasmonic Sensor Fabricated by Rapid Thermal Annealing Treatment for Label-Free and Multi-Point Immunoglobulin Sensing.

Nanomaterials (Basel, Switzerland)·2017
Same journal

Disseminating Geometric Figures for Architecture Education and Research Through a Direct Data Stream Between CAD Software and a Web Viewer.

IEEE computer graphics and applications·2026
Same journal

Designing scFlowVis: Visual Analytics for Single-Cell RNA Sequencing Analysis.

IEEE computer graphics and applications·2026
Same journal

Graph Pattern Matching based reassembly - 3DGPM.

IEEE computer graphics and applications·2026
Same journal

Making Learning Visible: Turning Public Engagement into Evidence for Academic Learning.

IEEE computer graphics and applications·2026
Same journal

LlymX: Multimodal LLM-Augmented XR for Context-Aware Information Access.

IEEE computer graphics and applications·2026
Same journal

Dynamic Gaussian-Based Digital Twin Reconstruction of Articulated Multi-Joint Objects.

IEEE computer graphics and applications·2026
See all related articles

Related Experiment Video

Updated: Jul 6, 2026

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

Automatic mood-transferring between color images.

Chuan-Kai Yang1, Li-Kai Peng

  • 1Department of Information Management, National Taiwan University of Science and Technology. ckyang@cs.ntust.edu.tw

IEEE Computer Graphics and Applications
|March 21, 2008
PubMed
Summary
This summary is machine-generated.

A novel color-conversion method provides a simple, one-click interface for style transfer. Its advanced histogram-matching technique maintains spatial coherence in images.

More Related Videos

Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging
06:11

Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging

Published on: September 22, 2023

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
09:19

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy

Published on: August 29, 2025

Related Experiment Videos

Last Updated: Jul 6, 2026

Visualizing Visual Adaptation
04:43

Visualizing Visual Adaptation

Published on: April 24, 2017

Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging
06:11

Improved Methods for Preparing Transverse Sections and Unrolled Whole Mounts of Maize Leaf Primordia for Fluorescence and Confocal Imaging

Published on: September 22, 2023

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
09:19

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy

Published on: August 29, 2025

Area of Science:

  • Computer Vision
  • Image Processing
  • Digital Art

Background:

  • Style transfer in digital imagery is computationally intensive.
  • Existing methods often lack intuitive interfaces or compromise image quality.
  • Preserving spatial coherence during color conversion remains a challenge.

Purpose of the Study:

  • To introduce a user-friendly, one-click color-conversion method.
  • To develop a refined histogram-matching technique for style transfer.
  • To ensure the preservation of spatial coherence in converted images.

Main Methods:

  • Development of an intuitive, one-click interface for style conversion.
  • Implementation of a refined histogram-matching algorithm.
  • Evaluation of spatial coherence preservation during the color conversion process.

Main Results:

  • The new method offers a simplified, one-click user experience for style conversion.
  • The refined histogram-matching approach successfully preserves spatial coherence.
  • Qualitative and quantitative assessments demonstrate the method's effectiveness.

Conclusions:

  • The developed color-conversion method is both intuitive and effective.
  • This approach advances style transfer techniques by maintaining image integrity.
  • It provides a practical solution for users seeking efficient and high-quality image style conversion.