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 Experiment Videos

Dynamic range reduction inspired by photoreceptor physiology.

Erik Reinhard1, Kate Devlin

  • 1School of Computer Science, University of Central Florida, Orlando, FL 32816-2362, USA. reinhard@cs.ucf.edu

IEEE Transactions on Visualization and Computer Graphics
|January 6, 2005
PubMed
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

Association between SARS-CoV-2 in wastewater and COVID-19 hospitalizations in three countries, 2022-2024.

Frontiers in public health·2026
Same author

Cardioembolic stroke caused by atrial myxoma.

BMJ case reports·2025
Same author

Repeated Look-up Tables.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2019
Same author

A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images.

IEEE computer graphics and applications·2015
Same author

Penalized least squares regression methods and applications to neuroimaging.

NeuroImage·2010
Same author

A neurophysiology-inspired steady-state color appearance model.

Journal of the Optical Society of America. A, Optics, image science, and vision·2009

This study presents a new tone reproduction algorithm for mapping high dynamic range images to displays. The method is inspired by human visual adaptation, offering practical control over image intensity and contrast.

Area of Science:

  • Computer Graphics
  • Human Visual System Modeling

Background:

  • Mapping high dynamic range (HDR) images to low dynamic range (LDR) displays is a common computer graphics challenge.
  • Human visual system adaptation processes offer insights into effective tone reproduction techniques.

Purpose of the Study:

  • To develop a practical and efficient algorithm for tone reproduction.
  • To model image adaptation based on physiological evidence from human photoreceptors.

Main Methods:

  • Utilized physiological evidence of adaptation in human photoreceptors.
  • Developed a straightforward tone reproduction model.
  • Implemented an algorithm with intuitive user parameters for intensity, contrast, and chromatic adaptation.

Main Results:

Related Experiment Videos

  • Achieved a fast and practical algorithm for general use.
  • The model effectively maps HDR images to LDR displays.
  • User parameters provide intuitive control over image tone and color adaptation.

Conclusions:

  • The proposed model provides an effective method for tone reproduction in computer graphics.
  • The algorithm's basis in human visual adaptation leads to intuitive and practical results.
  • This approach offers a valuable tool for display device image mapping.