Paper Info
Title
A Landweber Algorithm for 3D Confocal Microscopy Restoration
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.
Year
DOI
Venue
2004
10.1109/ICPR.2004.48
ICPR (1)
Keywords
Field
DocType
nonlinear iterative de-convolution algorithm,microscopy deconvolution,landweber algorithm,fredholm equation,confocal image,background noise,confocal microscopy restoration,asymmetric point spread function,new landweber algorithm,confocal microscopy,deconvolution,image restoration,point spread function,optical microscopy,iterative methods,optical transfer function,3d imaging
Computer vision,Optical transfer function,Pattern recognition,Landweber iteration,Blind deconvolution,Fredholm integral equation,Iterative method,Computer science,Deconvolution,Artificial intelligence,Image restoration,Point spread function
Conference
ISSN
ISBN
Citations 
1051-4651
0-7695-2128-2
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Daan Zhu100.68
Moe Razaz2235.63
Richard Lee300.68