Noise Amplification and Ill-convergence of Richardson-Lucy Deconvolution

Conference Paper (2024)
Author(s)

Y. Liu (TU Delft - ImPhys/Stallinga group)

S. Panezai (TU Delft - ImPhys/Rieger group)

Y. Wang (TU Delft - ImPhys/Stallinga group)

S. Stallinga (TU Delft - ImPhys/Stallinga group)

DOI related publication
https://doi.org/10.1364/ISA.2024.IW3D.2 Final published version
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Publication Year
2024
Language
English
Article number
IW3D.2
Event
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Abstract

Richardson-Lucy deconvolution can offer an increase in contrast, but converges poorly, and is sensitive to noise. We show that the Cramér Rao Lower Bound (CRLB) diverges, which explains the problematic behaviour.

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