
Proceedings Paper
Nonperiodic spatial masking for geometrical super resolved imagingFormat | Member Price | Non-Member Price |
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Paper Abstract
The resolution of every imaging system is limited either by the F-number of its optics or by the geometry of its detection
array. The geometrical limitation is caused by lack of spatial sampling points as well as by the shape of every sampling
pixel which generates spectral low-pass filtering. In this paper we present a novel approach to overcome the low-pass
filtering caused due to the shape of the sampling pixels. The approach combines special algorithmic together with spatial
mask placed in the intermediate image plane and eventually allows geometrical super resolved imaging without relation
to the actual shape of the pixels.
Paper Details
Date Published: 6 May 2009
PDF: 10 pages
Proc. SPIE 7329, Three-Dimensional Imaging, Visualization, and Display 2009, 732904 (6 May 2009); doi: 10.1117/12.819459
Published in SPIE Proceedings Vol. 7329:
Three-Dimensional Imaging, Visualization, and Display 2009
Bahram Javidi; Jung-Young Son; Manuel Martinez-Corral; Fumio Okano; Wolfgang Osten, Editor(s)
PDF: 10 pages
Proc. SPIE 7329, Three-Dimensional Imaging, Visualization, and Display 2009, 732904 (6 May 2009); doi: 10.1117/12.819459
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Published in SPIE Proceedings Vol. 7329:
Three-Dimensional Imaging, Visualization, and Display 2009
Bahram Javidi; Jung-Young Son; Manuel Martinez-Corral; Fumio Okano; Wolfgang Osten, Editor(s)
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