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¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
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Group Polarization

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Precipitation Gravimetry01:03

Precipitation Gravimetry

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The polar coordinate system offers an alternative to the Cartesian coordinate system for specifying points in a plane, using a distance and an angle instead of x and y coordinates. This system is particularly advantageous in situations involving circular or rotational symmetry, such as in physics or engineering problems involving waves, oscillations, or orbital paths.Defining Polar CoordinatesIn polar coordinates, a point is represented as P(r, ��), where r is the radial distance from a fixed...
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Insensitive Nuclei Enhanced by Polarization Transfer (INEPT)

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Updated: May 13, 2026

Echo Particle Image Velocimetry
16:31

Echo Particle Image Velocimetry

Published on: December 27, 2012

Real time polarimetric dehazing.

Jason Mudge1, Miguel Virgen

  • 1Phenomenology and Sensors Technology Dept., Advanced Technology Center, Lockheed Martin, Palo Alto, California 94304-1191, USA. jason.d.mudge@lmco.com

Applied Optics
|March 23, 2013
PubMed
Summary

This study presents a method to remove image haze using polarimetric information and a dehazing algorithm. This technique enhances visibility in remote sensing, enabling clearer data acquisition from inaccessible locations.

Area of Science:

  • Optics and Photonics
  • Remote Sensing Technology
  • Image Processing

Background:

  • Remote sensing provides valuable data from inaccessible or costly locations.
  • Image haze, caused by light scattering, significantly degrades visibility and data quality in remote sensing.
  • Existing methods for haze mitigation are often limited in scope or real-time application.

Purpose of the Study:

  • To develop and demonstrate an automated image haze removal technique for remote sensing applications.
  • To leverage polarimetric imaging and advanced algorithms for real-time visibility enhancement.
  • To expand the operational waveband flexibility in remote sensing systems by mitigating scatter effects.

Main Methods:

  • Utilizing an imaging polarimeter to capture real-time Stokes values.

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  • Implementing a specialized "dehazing" algorithm to process polarimetric data.
  • Integrating polarimetric data processing with image enhancement algorithms.

    • Main Results:

    • Successful mitigation of image haze caused by light scattering.
    • Demonstrated improvement in visual display and on-the-spot detection capabilities.
    • Enabled real-time image enhancement for dynamic applications, such as active control loops on moving platforms.

    Conclusions:

    • Polarimetric image processing offers an effective solution for automated haze removal in remote sensing.
    • This approach enhances data quality and expands operational possibilities for remote sensing systems.
    • The developed technique facilitates improved performance in challenging visibility conditions and broadens spectral band selection.