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

Light Acquisition02:16

Light Acquisition

9.2K
In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.
9.2K
Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

12.1K
Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
12.1K
Focusing of Light in the Eye01:16

Focusing of Light in the Eye

4.8K
Light rays enter the eye through the cornea, a transparent dome-shaped tissue that is the eye's outermost layer. The cornea bends or refracts, light rays traveling to the pupil. The shape of the cornea determines how much of the light is bent and whether the image will be focused correctly on the retina at the back of the eye. Once the light has passed through both refraction layers, it converges into a single focal point onto a small area. This is where photoreceptors start transforming...
4.8K
Imaging Biological Samples with Optical Microscopy01:18

Imaging Biological Samples with Optical Microscopy

8.5K
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
8.5K
Confocal Fluorescence Microscopy01:16

Confocal Fluorescence Microscopy

19.6K
Confocal microscopy is an advanced microscopic technique. The prime advantage of the confocal microscope over other microscopy techniques is its ability to block the out-of-focus light from the illuminated samples using pinholes. It is widely used with fluorescence optics to obtain high-resolution, sharp contrast images. Unlike optical microscopes, confocal microscopes use a focused beam of light laser to scan the entire sample surface at different z-planes. These microscopes are, therefore,...
19.6K
Phase Contrast and Differential Interference Contrast Microscopy01:26

Phase Contrast and Differential Interference Contrast Microscopy

11.7K
Phase-Contrast Microscopes
In-phase-contrast microscopes, interference between light directly passing through a cell and light refracted by cellular components is used to create high-contrast, high-resolution images without staining. It is the oldest and simplest type of microscope that creates an image by altering the wavelengths of light rays passing through the specimen. Altered wavelength paths are created using an annular stop in the condenser. The annular stop produces a hollow cone of...
11.7K

You might also read

Related Articles

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

Sort by
Same author

A 6D Pose Estimation for Robotic Bin-Picking Using Point-Pair Features with Curvature (Cur-PPF).

Sensors (Basel, Switzerland)·2022
Same author

Illumination-Invariant Feature Point Detection Based on Neighborhood Information.

Sensors (Basel, Switzerland)·2020
Same author

Outlier Detection Based on Residual Histogram Preference for Geometric Multi-Model Fitting.

Sensors (Basel, Switzerland)·2020
Same author

APPLICATION OF PREPARATIVE HIGH-SPEED COUNTERCURRENT CHROMATOGRAPHY FOR SEPARATION OF ELATINE FROM DELPHINIUM SHAWURENSE.

Journal of liquid chromatography & related technologies·2011
Same author

[Endothelial progenitor cells in acute lung injury].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases·2011
Same author

[Overview of weaning-induced acute cardiac dysfunction].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases·2011

Related Experiment Video

Updated: Dec 11, 2025

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
13:01

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

Published on: April 10, 2016

34.5K

Low-Light Image Brightening via Fusing Additional Virtual Images.

Yi Yang1, Zhengguo Li2, Shiqian Wu1

  • 1Institute of Robotics and Intelligent Systems, School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.

Sensors (Basel, Switzerland)
|August 23, 2020
PubMed
Summary

This study introduces a new algorithm to brighten images taken in low light. It enhances details and preserves color, improving mobile photography in challenging lighting.

Keywords:
intensity mapping functionlow-light image brighteningmultiscale exposure fusionvirtual images

More Related Videos

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

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy

Published on: August 29, 2025

476
Live Images of GLUT4 Protein Trafficking in Mouse Primary Hypothalamic Neurons Using Deconvolution Microscopy
08:47

Live Images of GLUT4 Protein Trafficking in Mouse Primary Hypothalamic Neurons Using Deconvolution Microscopy

Published on: December 7, 2017

10.1K

Related Experiment Videos

Last Updated: Dec 11, 2025

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
13:01

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

Published on: April 10, 2016

34.5K
Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
09:19

Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy

Published on: August 29, 2025

476
Live Images of GLUT4 Protein Trafficking in Mouse Primary Hypothalamic Neurons Using Deconvolution Microscopy
08:47

Live Images of GLUT4 Protein Trafficking in Mouse Primary Hypothalamic Neurons Using Deconvolution Microscopy

Published on: December 7, 2017

10.1K

Area of Science:

  • Computer Vision
  • Image Processing
  • Computational Photography

Background:

  • Mobile device photography struggles in low-light and backlighting.
  • Enhancing underexposed images while preserving details and color is a significant challenge.

Purpose of the Study:

  • To propose a novel single image brightening algorithm for low-light conditions.
  • To improve the quality of images captured by mobile devices in challenging lighting scenarios.

Main Methods:

  • Generation of two virtual images with extended exposure times using intensity mapping functions (IMFs) derived from camera response functions (CRFs).
  • Formulation of a least squares minimization problem to determine pixel-wise brightening factors, preventing color distortion.
  • Application of an edge-preserving smoothing technique to mitigate noise amplification.
  • Fusion of the original and virtual images using gradient domain guided image filtering (GGIF) based multiscale exposure fusion (MEF).

Main Results:

  • The proposed algorithm effectively increases brightness and enhances fine details in underexposed regions.
  • Relative brightness and color are better preserved compared to existing methods.
  • Details in brightly lit regions are well-maintained in the final enhanced image.
  • Noise amplification is effectively controlled.

Conclusions:

  • The developed algorithm offers a robust solution for single image brightening in low-light conditions.
  • It demonstrates superior performance in preserving image fidelity, including color and detail.
  • The method holds significant potential for enhancing computational photography applications on smartphones.