A Landweber algorithm for 3D confocal microscopy restoration

Author

Zhu, Daan ; Razaz, Moe ; Lee, Richard

Author_Institution

Sch. of Comput. Sci., East Anglia Univ., Norwich, UK

Volume

1

fYear

2004

fDate

23-26 Aug. 2004

Firstpage

552

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 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.

Keywords

Fredholm integral equations; deconvolution; image denoising; image restoration; iterative methods; optical microscopy; optical transfer function; 3D confocal image restoration; 3D confocal microscopy restoration; 3D microscopy deconvolution; Fredholm equation; Landweber algorithm; artificial 3D images; asymmetric point spread function degradation; noise suppression; nonlinear iterative deconvolution algorithm; Convergence; Deconvolution; Degradation; Equations; Image restoration; Iterative algorithms; Magnetic force microscopy; Scanning electron microscopy; Signal restoration; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on

ISSN

1051-4651

Print_ISBN

0-7695-2128-2

Type

conf

DOI

10.1109/ICPR.2004.1334197

Filename

1334197