DocumentCode
1593032
Title
Iterative methods for phase diversity-based blind deconvolution in atmospheric optics
Author
Kwan, Wilson C. ; Ng, Michael K.
Author_Institution
Dept. of Math., Hong Kong Univ., Hong Kong
Volume
1
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
198
Abstract
In this paper, we deal with the restoration of images degraded by the atmospheric turbulence. Atmospheric turbulence imposes a strong limit for observation on long propagation paths. We present a phase diversity blind deconvolution algorithm based on the minimization method. An alternating minimization iterative scheme is devised to recover the image and simultaneously identify the phase
Keywords
atmospheric optics; atmospheric turbulence; deconvolution; image processing; iterative methods; minimisation; alternating minimization iterative scheme; atmospheric optics; atmospheric turbulence; images restoration; iterative methods; minimization method; phase diversity-based blind deconvolution; Adaptive optics; Atmospheric waves; Deconvolution; Image restoration; Iterative methods; Mirrors; Optical distortion; Optical refraction; Optical sensors; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-5467-2
Type
conf
DOI
10.1109/ICIP.1999.821596
Filename
821596
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