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
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.821596
