Autor: |
H. Touma, Claude Aime, Henri Lanteri, Marco Barilli, Hubert Beaumont, Philippe Gaucherel |
Rok vydání: |
1995 |
Předmět: |
|
Zdroj: |
SPIE Proceedings. |
ISSN: |
0277-786X |
DOI: |
10.1117/12.228488 |
Popis: |
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. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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