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

Regularized image recovery in scattering media.

Yoav Y Schechner1, Yuval Averbuch

  • 1Department of Electrical Engineering, Technion--Israel Institute of Technology, Haifa, Israel. yoav@ee.technion.ac.il

IEEE Transactions on Pattern Analysis and Machine Intelligence
|July 14, 2007
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

3D volumetric tomography of clouds using machine learning for climate analysis.

Scientific reports·2025
Same author

NeMF: Neural Microphysics Fields.

IEEE transactions on pattern analysis and machine intelligence·2024
Same author

Using Zodiacal Light for Spaceborne Calibration of Polarimetric Imagers.

IEEE transactions on pattern analysis and machine intelligence·2023
Same author

Variable Imaging Projection Cloud Scattering Tomography.

IEEE transactions on pattern analysis and machine intelligence·2022
Same author

Plankton reconstruction through robust statistical optical tomography.

Journal of the Optical Society of America. A, Optics, image science, and vision·2021
Same author

Optical wide-field tomography of sediment resuspension.

Optics express·2019

This study introduces an adaptive filtering method to enhance visibility in scattering media, effectively reducing noise amplification for clearer distant object imaging. The technique improves image quality in challenging environments like fog and underwater scenes.

Area of Science:

  • Computer Vision
  • Image Processing
  • Optical Engineering

Background:

  • Visibility degrades with distance in scattering media.
  • Existing computer vision methods for visibility restoration can amplify noise.
  • Low medium transmittance exacerbates noise in distant object imaging.

Purpose of the Study:

  • To develop an adaptive filtering approach for visibility restoration in scattering media.
  • To inhibit noise amplification in restored images.
  • To improve imaging of distant objects without blurring nearby ones.

Main Methods:

  • An adaptive filtering approach based on regularized image recovery.
  • Spatially varying regularization adapting to medium transmittance.
  • Automatic determination of medium transmittance for experiments.

Related Experiment Videos

Main Results:

  • Significantly improved visibility compared to raw images.
  • Inhibition of noise amplification, especially for distant objects.
  • Demonstrated effectiveness in atmospheric and underwater imaging experiments.

Conclusions:

  • The adaptive filtering approach effectively restores visibility in scattering media.
  • The method successfully mitigates noise amplification issues.
  • It provides a robust solution for imaging in challenging environments.