A shift-and-add (SAA) method is used to restore atmospherically degraded images. The operation of the SAA method is simple, but the deconvolution method of SAA images remains to be developed, especially for extended objects. We propose to deconvolve a SAA image of an extended object by use of a self-deconvolving data reconstruction algorithm (SeDDaRA). Computer simulations show the effectiveness of the SeDDaRA to SAA images. It is also shown that use of the SAA method after each data frame is self-deconvolved leads to a better reconstruction.
© 2005 Optical Society of America
(030.6610) Coherence and statistical optics : Stellar speckle interferometry
(030.7060) Coherence and statistical optics : Turbulence
(100.1830) Image processing : Deconvolution
(100.2000) Image processing : Digital image processing
(100.3010) Image processing : Image reconstruction techniques
Yoshifumi Sudo and Naoshi Baba, "Self-deconvolution for shift-and-add imaging," Opt. Lett. 30, 1309-1311 (2005)