Paper
6 May 2009 Nonperiodic spatial masking for geometrical super resolved imaging
Amikam Borkowski, Zeev Zalevsky, Bahram Javidi
Author Affiliations +
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Amikam Borkowski, Zeev Zalevsky, and Bahram Javidi "Nonperiodic spatial masking for geometrical super resolved imaging", Proc. SPIE 7329, Three-Dimensional Imaging, Visualization, and Display 2009, 732904 (6 May 2009); https://doi.org/10.1117/12.819459
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image resolution

Sensors

Super resolution

Spatial resolution

Cameras

Convolution

Binary data

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