Comparison of several algorithms for blind deconvolution: analysis of noise effects

Details Comparison of several algorithms for blind deconvolution: analysis of noise effects Comparison of several algorithms for blind deconvolution: analysis of noise effects

Dec 1995

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995spie.2580..275l&link_type=abstract

Proc. SPIE Vol. 2580, p. 275-287, Optics in Atmospheric Propagation and Adaptive Systems, Anton Kohnle; Ed.

Physics

Optics

Scientific paper

The object of this communication is to compare two inversion algorithms in their application to the blind deconvolution problem. After a brief summary of the previous works in this field, we describe the Richardson-Lucy and the steepest descent algorithms and we introduce these methods in the basic error reduction algorithm of Ayers and Dainty. These algorithms are compared when used for blind deconvolution of simulated binary objects convolved by a point spread function and corrupted by a Gaussian additive noise. We consider the effects of the noise level on the reconstruction error, together with the effects of the algorithmic parameters (inner and outer iteration numbers). Particular effects occurring during the reconstruction process are also shown.

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