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

IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

855
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
855
Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

1.6K
When electromagnetic radiation passes through a material, atoms or molecules transition from a lower to a higher energy state by absorbing radiation corresponding to the energy difference between the two states. The absorption of infrared (IR) radiation causes transitions between vibrational energy levels in a molecule. Therefore, IR spectroscopy is a useful analytical tool for determining the molecular structure of molecules.
Different compounds display unique properties due to their...
1.6K
IR Spectrometers01:25

IR Spectrometers

1.1K
There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
1.1K
IR Frequency Region: X–H Stretching01:24

IR Frequency Region: X–H Stretching

966
In IR spectroscopy, signals produced by the X−H bonds (such as C−H, O−H, or N−H) can be observed in the frequency range of  2700–4000 cm–1. The C−H stretching vibration forms sharp bands in the region 2850–3000 cm–1. The presence of the O−H stretching vibration leads to the forming of an absorption band in the frequency range 3650–3200 cm−1. At the same time, N−H stretching can be confirmed by absorption bands in...
966
Discrete-time Fourier transform01:26

Discrete-time Fourier transform

300
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
300
Total Internal Reflection Fluorescence Microscopy01:05

Total Internal Reflection Fluorescence Microscopy

5.7K
Total internal reflection fluorescence microscopy or TIRF is an advanced microscopic technique used to visualize fluorophores in samples close to a solid surface with a higher refractive index, such as a glass coverslip. TIRF only allows fluorophores in proximity to the solid surface to be excited. When light from a medium with a lower refractive index (such as air) hits the glass coverslip at a critical angle, the light undergoes total internal reflection stead of passing through the glass.
5.7K

You might also read

Related Articles

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

Sort by
Same author

Frequent Sweetened Beverage Consumption Is Associated With Accelerated Biological Aging: Evidence From a Population-Based Study and Gut Microbiota Analysis.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

Associations of dietary diversity with type 2 diabetes in two Chinese cohorts: a multi-omics study.

Food & function·2026
Same author

Housing status, mental health, and help-seeking among American Indian and Alaska Native Veterans in the Midwest.

Frontiers in public health·2025
Same author

Development and Validation of an Entrustable Professional Activity-Based Assessment Scale for Nurse Practitioners in Taiwan.

The journal of nursing research : JNR·2025
Same author

Predicting Individual Treatment Effects: Challenges and Opportunities for Machine Learning and Artificial Intelligence.

Kunstliche intelligenz·2025
Same author

Assessing the impact of clerkships on the growth of clinical knowledge.

Annals of medicine·2024

Related Experiment Video

Updated: Jun 22, 2025

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
11:05

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

Published on: January 21, 2015

33.2K

Infrared and Visible Image Fusion Algorithm Based on Double-Domain Transform Filter and Contrast Transform Feature

Xu Ma1,2, Tianqi Li2, Jun Deng1

  • 1College of Safety Science and Engineering, Xi'an University of Science and Technology, Xi'an 710054, China.

Sensors (Basel, Switzerland)
|June 27, 2024
PubMed
Summary

This study introduces a new visible and infrared image fusion algorithm (DDCTFuse) to overcome color distortion and detail loss. The DDCTFuse method enhances target distinctness and scene information, improving overall image contrast.

Keywords:
color correctionfeature extractionhigh-pass filterlogical filternonlinear contrast transform function

More Related Videos

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
11:35

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

Published on: December 8, 2010

16.5K
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

33.9K

Related Experiment Videos

Last Updated: Jun 22, 2025

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology
11:05

High-definition Fourier Transform Infrared FT-IR Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

Published on: January 21, 2015

33.2K
Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
11:35

Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function

Published on: December 8, 2010

16.5K
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

33.9K

Area of Science:

  • Computer Vision
  • Image Processing
  • Artificial Intelligence

Background:

  • Visible and infrared image fusion faces challenges like color distortion, texture loss, and blurred edges.
  • Existing fusion methods struggle with incomplete detail extraction and contrast loss.

Purpose of the Study:

  • To propose a novel image fusion algorithm, DDCTFuse, addressing limitations in current visible and infrared fusion techniques.
  • To improve target distinctness, preserve texture details, and enhance contrast in fused images.

Main Methods:

  • Image decomposition into high-frequency and low-frequency components using an adaptive high-pass filter.
  • Novel nonlinear transform function for feature extraction to address contrast loss.
  • Spatial-domain logical filter for optimizing fusion results, including color correction and edge enhancement.

Main Results:

  • The DDCTFuse algorithm demonstrated superior performance compared to nine classical algorithms on benchmark datasets (LLVIP, MSRS, INO, Roadscene).
  • Fused images exhibited distinct targets, comprehensive scene information, and significantly improved image contrast.
  • Effectively addressed color loss and edge blur issues inherent in traditional fusion processes.

Conclusions:

  • The proposed DDCTFuse algorithm offers a robust solution for visible and infrared image fusion.
  • The method significantly enhances image quality by preserving details and improving contrast.
  • DDCTFuse provides a valuable advancement for applications requiring high-quality fused imagery.