Paper
2 February 2006 Research on the 3D image restoration of the wide-field microscope based on the MPMAP
Hua Chen, Weiqi Jin, Binghua Su, Xia Wang, Tingzhu Bai
Author Affiliations +
Proceedings Volume 6026, ICO20: Biomedical Optics; 60260L (2006) https://doi.org/10.1117/12.667140
Event: ICO20:Optical Devices and Instruments, 2005, Changchun, China
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.
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Hua Chen, Weiqi Jin, Binghua Su, Xia Wang, and Tingzhu Bai "Research on the 3D image restoration of the wide-field microscope based on the MPMAP", Proc. SPIE 6026, ICO20: Biomedical Optics, 60260L (2 February 2006); https://doi.org/10.1117/12.667140
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KEYWORDS
Image restoration

3D image processing

Signal to noise ratio

3D image restoration

Microscopes

Image resolution

Image processing

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