A Landweber algorithm for 3D confocal microscopy restoration

Tools

Zhu, Daan, Razaz, Moe and Lee, Richard (2004) A Landweber algorithm for 3D confocal microscopy restoration. In: 17th International Conference on Pattern Recognition, 2004-08-23 - 2004-08-26.

Full text not available from this repository.

Abstract

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 de-convolution 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.

Item Type:	Conference or Workshop Item (Other)
Faculty \ School:	Faculty of Science > School of Computing Sciences
Related URLs:	http://doi.ieeecomputersociety.org/10.11...
Depositing User:	EPrints Services
Date Deposited:	01 Oct 2010 13:43
Last Modified:	07 Mar 2023 12:30
URI:	https://ueaeprints.uea.ac.uk/id/eprint/3958
DOI:	10.1109/ICPR.2004.1334197

Actions (login required)

View Item