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Related Concept Videos

Infrared (IR) Spectroscopy: Overview01:09

Infrared (IR) Spectroscopy: Overview

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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...
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IR Frequency Region: Fingerprint Region01:03

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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...
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Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

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Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
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IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations01:08

IR Spectrum Peak Splitting: Symmetric vs Asymmetric Vibrations

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Identical bonds within a polyatomic group can stretch symmetrically (in-phase) or asymmetrically (out-of-phase). Similar to hydrogen bonding, these vibrations also influence the shape of the IR peak. Generally, asymmetric stretching frequencies are higher than symmetric stretching frequencies. For example, primary amines exhibit two distinct IR peaks between 3300–3500 cm−1 corresponding to the symmetric and asymmetric N-H stretching, while secondary amines exhibit a single...
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Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

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Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
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IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

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When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
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Related Experiment Video

Updated: Mar 19, 2026

Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development
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Using Light Sheet Fluorescence Microscopy to Image Zebrafish Eye Development

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Wavelet-Based Visible and Infrared Image Fusion: A Comparative Study.

Angel D Sappa1,2, Juan A Carvajal3, Cristhian A Aguilera4,5

  • 1Facultad de Ingeniería en Electricidad y Computación, CIDIS, Escuela Superior Politécnica del Litoral, ESPOL, Campus Gustavo Galindo, Km 30.5 vía Perimetral, Guayaquil 09-01-5863, Ecuador. angel.sappa@cvc.uab.es.

Sensors (Basel, Switzerland)
|June 14, 2016
PubMed
Summary

This study identifies optimal wavelet-based fusion strategies for merging visible and infrared images. Findings help select the best cross-spectral image fusion approach based on quantitative performance correlations.

Keywords:
discrete wavelet transformfusion evaluation metricsimage fusionvisible and infrared imaging

Related Experiment Videos

Last Updated: Mar 19, 2026

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Area of Science:

  • Image Processing
  • Computer Vision
  • Signal Processing

Background:

  • Visible and infrared (IR) image fusion is crucial for enhancing image interpretation.
  • Wavelet-based methods offer a powerful framework for multi-modal image fusion.
  • Selecting optimal fusion strategies remains challenging due to diverse parameters and evaluation metrics.

Purpose of the Study:

  • To evaluate various wavelet-based cross-spectral image fusion strategies.
  • To identify the best fusion strategy irrespective of the evaluation metric.
  • To establish criteria for selecting optimal fusion strategies for visible and infrared images.

Main Methods:

  • Investigated combinations of wavelet decomposition setups and fusion strategies.
  • Employed quantitative performance evaluation using registered visible, Near InfraRed (NIR), and Long Wave InfraRed (LWIR) image pairs.
  • Analyzed correlations between fusion strategy parameters and resulting image performance.

Main Results:

  • Identified specific wavelet decomposition and fusion strategy combinations yielding superior performance.
  • Demonstrated quantitative correlations between fusion parameters and image fusion quality.
  • Validated the proposed criteria for selecting optimal fusion strategies across diverse image pairs.

Conclusions:

  • Established a data-driven approach for selecting optimal wavelet-based cross-spectral image fusion strategies.
  • The findings provide a robust framework for enhancing image fusion performance in various applications.
  • Quantitative analysis offers a reliable alternative to subjective human observer evaluation.