A Landweber algorithm for 3D confocal microscopy restoration

A Landweber algorithm for 3D confocal microscopy restoration

A new Landweber algorithm for 3D microscopy deconvolution is introduced in this paper. The algorithm is formulated from the Fredholm equation of the first kind. Artificial 3D images are used to test this algorithm and the restored results are compared with a nonlinear iterative deconvolution algorit...

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Bibliographische Detailangaben
Hauptverfasser: Zhu, D., Razaz, M., Lee, R.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Convergence
Deconvolution
Degradation
Equations
Image restoration
Iterative algorithms
Magnetic force microscopy
Scanning electron microscopy
Signal restoration
Signal to noise ratio
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Beschreibung
Zusammenfassung:A new Landweber algorithm for 3D microscopy deconvolution is introduced in this paper. The algorithm is formulated from the Fredholm equation of the first kind. Artificial 3D images are used to test this algorithm and the restored results are compared with a nonlinear iterative deconvolution algorithm (IDA). The experimental results show that the Landweber algorithm can effectively suppress background noise and remove asymmetric point spread function (PSF) degradation. Finally, a typical real 3D confocal image is restored by the Landweber algorithm and the results are compared with IDA.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2004.1334197