Title :
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
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;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334197
