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Proceedings Paper

Research on the 3D image restoration of the wide-field microscope based on the MPMAP
Author(s): Hua Chen; Weiqi Jin; Binghua Su; Xia Wang; Tingzhu Bai
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Paper Abstract

A new method is proposed for the 3D (three-dimensional) image restoration of the wide-field microscope based on the MPMAP algorithm (Poisson-MAP Super-resolution image restoration algorithm with Markov constraint) according to the 3D features of the microscopic image. The neighborhood of the Markov random field in MPMAP algorithm is extended to 3D, and the regularization parameter α of the bound term in MPMAP is simplified. As a result, the restoration of 3D image of wide-field microscope is achieved, and the more perfect effect of the image restoration is got. When images within noise are restored by different value α, different attainable resolution and signal-to-noise ratio (SNR) in the restored image. Experiment results show that it is necessary to select appropriately value of α, and take tradeoff between resolution and SNR in the restored image so that the more perfect effect of the image restoration is got.

Paper Details

Date Published: 2 February 2006
PDF: 7 pages
Proc. SPIE 6026, ICO20: Biomedical Optics, 60260L (2 February 2006); doi: 10.1117/12.667140
Show Author Affiliations
Hua Chen, Beijing Institute of Technology (China)
Weiqi Jin, Beijing Institute of Technology (China)
Binghua Su, Beijing Institute of Technology (China)
Xia Wang, Beijing Institute of Technology (China)
Tingzhu Bai, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 6026:
ICO20: Biomedical Optics

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