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Related Concept Videos

Infrared (IR) Spectroscopy: Overview01:09

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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.
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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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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...
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Infrared image enhancement algorithm based on adaptive histogram segmentation.

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    Summary
    This summary is machine-generated.

    This study introduces a novel global-mapping algorithm for infrared image contrast enhancement. It effectively enhances thermal distribution information while minimizing background and noise over-enhancement.

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    Area of Science:

    • Image Processing
    • Computer Vision
    • Thermal Imaging

    Background:

    • Contrast enhancement is vital for infrared image pre-processing.
    • Global-mapping methods preserve thermal distribution, crucial for temperature-sensitive applications.
    • Existing global-mapping methods struggle with background and noise over-enhancement.

    Purpose of the Study:

    • To propose a novel global-mapping enhancement algorithm for infrared images.
    • To address the challenge of effective contrast enhancement without background/noise over-enhancement.
    • To preserve thermal distribution information in infrared images.

    Main Methods:

    • Adaptive histogram division based on heat conduction theory.
    • A novel metric, AHV, distinguishes background and non-background sub-histograms.
    • Grayscale redistribution considering human visual system properties (Weber's law).

    Main Results:

    • The proposed method enhances contrast effectively.
    • It successfully avoids over-enhancement of background and noise.
    • Demonstrated advantages over state-of-the-art methods through qualitative and quantitative comparisons.

    Conclusions:

    • The novel global-mapping algorithm offers superior contrast enhancement for infrared images.
    • It effectively balances contrast improvement with the preservation of thermal distribution.
    • The method shows significant potential for temperature-sensitive applications.