The Research and Development of Restrained Iteration Deconvolution Algorithm in Three-Dimensional Microscope Image Restoration

The theory of microscope for imaging thick transparent samples and iterative restrained deconvolution algorithm are introduced in this paper. Under the microscope imaging principle of transparency, clarity of the known three-dimensional images is degenerated, and the defocusing information of the de...

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Vydáno v:2009 First International Conference on Information Science and Engineering s. 1487 - 1490
Hlavní autoři: Wang, Ming, Yao, Jin Li
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.12.2009
Témata:
Deconvolution
Degradation
Frequency
Image resolution
Image restoration
Interference
Iterative algorithms
Microscopy
Research and development
Signal to noise ratio
ISBN:142444909X, 9781424449095
ISSN:2160-1283
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Shrnutí:The theory of microscope for imaging thick transparent samples and iterative restrained deconvolution algorithm are introduced in this paper. Under the microscope imaging principle of transparency, clarity of the known three-dimensional images is degenerated, and the defocusing information of the degraded images is removed with restrained iteration deconvolution algorithm. The experimental results show that defocusing the image information of the interference has been effectively removed, for clarity and signal to noise ratio has been significantly improved, and the imaging algorithm can recover the lost part of the process of frequency components to achieve super-resolution recovery. When iterations is in a large number, the recovery is better than the neighborhood and liner methods.
ISBN:142444909X
9781424449095
ISSN:2160-1283
DOI:10.1109/ICISE.2009.1262