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Phase diversity with undersampled systems via superresolution preprocessing
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DOI：10.1364/OL.37.002463.png)
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Phase diversity algorithms allow a wavefront to be reconstructed from through-focus measurements of a point source or extended scene. These algorithms have traditionally been limited to systems that are Nyquist sampled. Many optical systems for remote sensing applications are designed to be undersampled, however. One approach to phase diversity with undersampled systems is to employ superresolution techniques to first create properly sampled scenes. This is demonstrated experimentally for a point object, but is applicable to extended scenes as well. (C) 2012 Optical Society of America
Keyword:
RETRIEVAL ALGORITHMS
IMAGE-RECONSTRUCTION
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3.3
论文数:
4.0W
被引数:
7.6W
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