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Proceedings Paper

Overcoming sensor constraints in 3D integral imaging
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Paper Abstract

One of the main challenges in integral imaging is to overcome the limited depth of field. Although it is widely assumed that such limitation is mainly imposed by diffraction due to lenslet imaging, we show that the most restricting factor is the pixelated structure of the sensor (CCD). In this context, we take profit from these sensor constraints and demonstrate that by proper binary amplitude modulation of the pickup microlenses, the depth of field can be substantially improved with no deterioration of lateral resolution.

Paper Details

Date Published: 26 October 2005
PDF: 10 pages
Proc. SPIE 5986, Unmanned/Unattended Sensors and Sensor Networks II, 598604 (26 October 2005); doi: 10.1117/12.633488
Show Author Affiliations
Manuel Martínez-Corral, Univ. de Valencia (Spain)
Raúl Martínez-Cuenca, Univ. de Valencia (Spain)
Genaro Saavedra, Univ. de Valencia (Spain)
Bahram Javidi, Univ. of Connecticut (United States)

Published in SPIE Proceedings Vol. 5986:
Unmanned/Unattended Sensors and Sensor Networks II
Edward M. Carapezza, Editor(s)

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