Atmospheric turbulence can cause severe blurring and scintillation in images. These distortions result in less detailed images. Using only image enhancement techniques can improve the quality of the images to some extend, but usually not enough to see all details. Turbulence correction techniques, such as post-processing techniques using a deconvolution, are developed and show good results. A more profound understanding of atmospheric turbulence, and especially the impact of turbulence on the image quality, might help to improve the quality of these images even further. To this end, we present a simple method of estimating the shape and size of the point spread function. The method is tested using images from an ongoing trial in South-Afric...
Image distortions caused by atmospheric turbulence are often treated as unwanted noise or errors in ...
Turbulence is a common phenomenon in the atmosphere and can generate a variety of distortions in an ...
In a previous work we quantified the performance improvement resulting from using the bispectrum to ...
Characterization of turbulence in the atmosphere and mitigation of its effects in optical systems ar...
Atmospheric turbulence is a well-known phenomenon that diminishes the recognition range in visual an...
When an image is taken while subjected to a temperature gradient, the image undergoes geometric dist...
The shimmering effects of atmospheric turbulence are familiar to anyone who has looked across the ro...
In general, long range detection, recognition and identification in visual and infrared imagery are ...
Remote sensing applications are generally concerned with observing objects over long distances. When...
Correction of atmospheric turbulence effects on images involves mainly mitigation of distortion (“de...
Atmospheric turbulence caused by chaotic changes in air pressure and velocity will deter Charge Coup...
Abstract: Deconvolution of images taken through atmospheric turbulence often requires regularization...
Atmospheric turbulence parameters are estimated for an imaging path based on time-lapse imaging resu...
D. Tech. Engineering Electrical.Developes and compare algorithms to restore sequences degraded by th...
A well-known phenomena that diminishes the recognition range in infrared imagery is atmospheric turb...
Image distortions caused by atmospheric turbulence are often treated as unwanted noise or errors in ...
Turbulence is a common phenomenon in the atmosphere and can generate a variety of distortions in an ...
In a previous work we quantified the performance improvement resulting from using the bispectrum to ...
Characterization of turbulence in the atmosphere and mitigation of its effects in optical systems ar...
Atmospheric turbulence is a well-known phenomenon that diminishes the recognition range in visual an...
When an image is taken while subjected to a temperature gradient, the image undergoes geometric dist...
The shimmering effects of atmospheric turbulence are familiar to anyone who has looked across the ro...
In general, long range detection, recognition and identification in visual and infrared imagery are ...
Remote sensing applications are generally concerned with observing objects over long distances. When...
Correction of atmospheric turbulence effects on images involves mainly mitigation of distortion (“de...
Atmospheric turbulence caused by chaotic changes in air pressure and velocity will deter Charge Coup...
Abstract: Deconvolution of images taken through atmospheric turbulence often requires regularization...
Atmospheric turbulence parameters are estimated for an imaging path based on time-lapse imaging resu...
D. Tech. Engineering Electrical.Developes and compare algorithms to restore sequences degraded by th...
A well-known phenomena that diminishes the recognition range in infrared imagery is atmospheric turb...
Image distortions caused by atmospheric turbulence are often treated as unwanted noise or errors in ...
Turbulence is a common phenomenon in the atmosphere and can generate a variety of distortions in an ...
In a previous work we quantified the performance improvement resulting from using the bispectrum to ...