Blind deconvolution using the Richardson-Lucy algorithm

Henri Lanteri; Claude Aime; Hubert Beaumont; Philippe Gaucherel

doi:10.1117/12.197374

21 December 1994 Blind deconvolution using the Richardson-Lucy algorithm

Henri Lanteri, Claude Aime, Hubert Beaumont, Philippe Gaucherel

Proceedings Volume 2312, Optics in Atmospheric Propagation and Random Phenomena; (1994) https://doi.org/10.1117/12.197374
Event: Satellite Remote Sensing, 1994, Rome, Italy

Abstract

The aim of this communication is to show how the Richardson-Lucy deconvolution algorithm can be applied to the blind deconvolution problem. After a brief description of the R.L algorithm itself, we start from the basic papers of Ayers and Dainty (1988) and Lane (1992) and introduce in their approach the R.L algorithm in several different ways. We show that the general behaviour of the proposed methods is analogous to that of the error-reduction algorithms and that good solutions can be obtained. The unregularized behaviour of the RL algorithm is overcame by a limitation of the iteration number. Moreover we compare the structures of the various algorithms proposed here and emphasise the main differences. The proposed algorithms are used to blindly deconvolve two types of objects (point-like and extended objects) blurred by simulated point spread functions similar to those observed at the focus of a small telescope in presence of at- mospheric turbulence. The error reduction term is given as a function of the iteration number.

Citation Download Citation

Henri Lanteri, Claude Aime, Hubert Beaumont, and Philippe Gaucherel "Blind deconvolution using the Richardson-Lucy algorithm", Proc. SPIE 2312, Optics in Atmospheric Propagation and Random Phenomena, (21 December 1994); https://doi.org/10.1117/12.197374

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