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Removing Atmospheric Turbulence Effects For Videos
University of California System: University of California, Santa Cruz
posted on 10/19/2011
Atmospheric turbulence cause by variation of refractive index along the optical transmission path can strongly affect the performance of the long-distance imaging system. It produces geometric distortion, space-and-time-varient defocus blur, and motion blur (if the exposure time is not sufficiently short). Existing restoration algorithms for this problem can generally be divided into two main categories. The first is based on a multi-frame reconstruction framework and the other is known as “lucky exposure”. The main problem with multi-frame reconstruction algorithms is that in general they can hardly estimate the actual point spread function (PSF), which is spatially and temporally changing, hence limiting their performance. The “lucky exposure” approach employs image selection and fusion methods to reduce the blurring effects caused by turbulence. One shortcoming of this method is that even though turbulence caused blur is strongly alleviated through the fusion process, the output still suffers from blur caused by diffraction-limited PSF.
Suggested Uses
Consumer digital imaging, medical imaging, astronomical imaging system.
Advantages
It can suppress geometric distortion and spatially-changing blur caused by turbulence, recover details of the scene and significantly improve the visual quality.
Detailed Description
UCSC researchers have developed a new framework for restoring a single image from an image sequence acquired in anisoplanatic (i.e., air turbulence) scenarios. The new framework is designed to reduce the spatial variation of PSFs over the whole image space through a non-parametric kernel regression algorithm, so that the blur can be approximately treated as spatially invariant, and the latent image content is then estimated globally. . Experiments using simulated and real data illustrate that the algorithm is capable of alleviating geometric deformation and space-and-time-varying blur caused by turbulence, recovering details of the scene and significantly improving the visual quality.
File Number: 22011
| Copyright: | ©2011, The Regents of the University of California |
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