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Proceedings Paper

Fast image restoration algorithm of differential confocal microscopy imaging
Author(s): Guanyi Wang; Dali Liu; Lirong Qiu
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Paper Abstract

Super resolution image restoration algorithm proposed in this paper uses the method of maximum likelihood estimation (MLE) to take image restoration processing of 2D steps image scanned by differential confocal imaging system, assuming that the image is based on Poisson distribution. For optical imaging system, this paper puts forward the more accurate point spread function (PSF) and the concept of image interval matching, and introduces automatic acceleration method and the iteration terminating standard. Experiments on the 2-D image of standard steps indicated that a lateral resolution of 0.1μm has achieved and the recovery time has been obviously shorten.

Paper Details

Date Published: 19 December 2013
PDF: 9 pages
Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 904513 (19 December 2013); doi: 10.1117/12.2034854
Show Author Affiliations
Guanyi Wang, Beijing Institute of Technology (China)
Dali Liu, Beijing Institute of Technology (China)
Lirong Qiu, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 9045:
2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Xinggang Lin; Jesse Zheng, Editor(s)

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