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Related Concept Videos

Turbulent Flow01:24

Turbulent Flow

Turbulent flow is characterized by unpredictable fluctuations in velocity and pressure, which result in a chaotic fluid movement distinct from the orderly patterns of laminar flow. While laminar flow is governed by smooth, parallel layers with minimal mixing, turbulent flow exhibits highly irregular, three-dimensional patterns. This behavior arises due to instabilities in the fluid's velocity profile, and amplifies as the flow velocity increases. Minor disturbances, known as turbulent spots,...
Propagation of Waves01:07

Propagation of Waves

When a wave propagates from one medium to another, part of it may get reflected in the first medium, and part of it may get transmitted to the second medium. In such a case, the interface of the two mediums can be considered as a boundary that is neither fixed nor free.
Consider a scenario where a wave propagates from a string of low linear mass density to a string of high linear mass density. In such a case, the reflected wave is out of phase with respect to the incident wave, however the...
Turbulent Flow: Problem Solving01:09

Turbulent Flow: Problem Solving

Carbonation is a process used to dissolve carbon dioxide gas in a liquid, commonly used in the production of carbonated beverages. Achieving efficient carbonation requires careful control of temperature, pressure, and flow conditions. By adjusting these parameters, carbonation efficiency can be maximized, producing a higher concentration of CO2 in the liquid.
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Laminar and Turbulent Flow01:07

Laminar and Turbulent Flow

Fluid dynamics is the study of fluids in motion. Velocity vectors are often used to illustrate fluid motion in applications like meteorology. For example, wind—the fluid motion of air in the atmosphere—can be represented by vectors indicating the speed and direction of the wind at any given point on a map. Another method for representing fluid motion is a streamline. A streamline represents the path of a small volume of fluid as it flows. When the flow pattern changes with time, the streamlines...
Interference and Superposition of Waves01:07

Interference and Superposition of Waves

When two waves of the same nature occur in the same region simultaneously, they result in interference. Interference of waves implies that the net effect of the waves is the sum of the individual waves' effects. However, it does not imply that the individual waves affect the propagation of other waves.
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Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...

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Related Experiment Video

Updated: May 13, 2026

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
11:00

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Atmospheric turbulence mitigation using complex wavelet-based fusion.

Nantheera Anantrasirichai1, Alin Achim, Nick G Kingsbury

  • 1Visual Information Laboratory, University of Bristol, Bristol BS8 1UB, UK. n.anantrasirichai@bris.ac.uk

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|March 12, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to improve image clarity in surveillance videos affected by atmospheric turbulence. The technique enhances situational awareness by effectively restoring details in distorted regions of interest (ROIs).

More Related Videos

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
10:53

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

Related Experiment Videos

Last Updated: May 13, 2026

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
11:00

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section

Published on: July 19, 2016

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques
10:53

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

Published on: March 12, 2019

Area of Science:

  • Computer Vision
  • Image Processing
  • Remote Sensing

Background:

  • Atmospheric turbulence causes significant image degradation in surveillance, making model-based restoration impractical.
  • Airborne turbulence severely impacts the quality of regions of interest (ROIs) in observed images.
  • Existing methods struggle with the spatially varying nature of atmospheric distortions.

Purpose of the Study:

  • To propose a novel method for mitigating atmospheric distortion in surveillance imagery.
  • To enhance the extraction of accurate details from objects obscured by atmospheric layers.
  • To develop a learning-based metric for image quality assessment under atmospheric distortion.

Main Methods:

  • A frame selection method identifies informative ROIs from good-quality frames.
  • ROIs are registered to minimize offsets and distortions.
  • Region-level fusion using the dual tree complex wavelet transform addresses space-varying distortions.
  • Contrast enhancement is applied as a final step.

Main Results:

  • The proposed method significantly outperforms existing techniques in restoring clarity.
  • Enhanced detail extraction from ROIs is achieved.
  • A novel learning-based metric accurately assesses image quality in distorted scenarios (full- and no-reference).

Conclusions:

  • The developed method effectively mitigates atmospheric distortion in surveillance video.
  • The approach improves situational awareness across various surveillance applications.
  • The new image quality assessment metric provides reliable evaluations under challenging conditions.