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4 May 2009Compensating image degradation due to atmospheric turbulence in
anisoplanatic conditions
In imaging applications the prevalent effects of atmospheric turbulence comprise image dancing and image blurring.
Suggestions from the field of image processing to compensate for these turbulence effects and restore degraded imagery
include Motion-Compensated Averaging (MCA) for image sequences. In isoplanatic conditions, such an averaged image
can be considered as a non-distorted image that has been blurred by an unknown Point Spread Function (PSF) of the
same size as the pixel motions due to the turbulence and a blind deconvolution algorithm can be employed for the final
image restoration. However, when imaging over a long horizontal path close to the ground, conditions are likely to be
anisoplanatic and image dancing will effect local image displacements between consecutive frames rather than global
shifts only. Therefore, in this paper, a locally operating variant of the MCA-procedure is proposed, utilizing Block
Matching (BM) in order to identify and re-arrange uniformly displaced image parts. For the final restoration a multistage
blind deconvolution algorithm is used and the corresponding deconvolution results are presented and evaluated.
Claudia S. Huebner
"Compensating image degradation due to atmospheric turbulence in
anisoplanatic conditions", Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 735106 (4 May 2009); https://doi.org/10.1117/12.818560
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Claudia S. Huebner, "Compensating image degradation due to atmospheric turbulence in anisoplanatic conditions," Proc. SPIE 7351, Mobile Multimedia/Image Processing, Security, and Applications 2009, 735106 (4 May 2009); https://doi.org/10.1117/12.818560