DocumentCode :
2269488
Title :
Joint blind deconvolution and image correlography via a Bayesian image reconstruction algorithm
Author :
Cain, Stephen C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Air Force Inst. of Technol., Wright-Patterson AFB, OH
fYear :
0
fDate :
0-0 0
Abstract :
Laser imaging through atmospheric turbulence is a challenging problem due primarily to turbulence close to the aperture. Amplitude measurements of the return beam in the plane of the aperture are immune to turbulence, but contain limited information about the Fourier phase of the target image. This paper suggests a method for using blind deconvolution of laser speckle degraded imagery together with correlography techniques in order to simplify the phase retrieval problem and produce coherent image reconstructions with spatial resolution not limited by the atmospheric conditions. The viability of the technique is demonstrated via computer simulation
Keywords :
blind source separation; deconvolution; image reconstruction; image resolution; speckle; Bayesian image reconstruction algorithm; blind deconvolution; image correlography techniques; laser speckle degraded imagery; phase retrieval problem; spatial resolution; Apertures; Atmospheric measurements; Bayesian methods; Deconvolution; Degradation; Image reconstruction; Image retrieval; Laser beams; Phase measurement; Speckle;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Aerospace Conference, 2006 IEEE
Conference_Location :
Big Sky, MT
Print_ISBN :
0-7803-9545-X
Type :
conf
DOI :
10.1109/AERO.2006.1655908
Filename :
1655908
Link To Document :
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