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Ultra-miniature computational sensors and imagers: Incorporating algorithms to yield final digital images (Conference Presentation)
Author(s): David G. Stork
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Paper Abstract

Computational imaging relies on the joint design of optics and digital processing for producing the final digital image our output. Because the intermediate optical image need preserve the relevant visual information yet not necessarily "look good," a wider range of optical designs can be employed, including designs that eschew traditional optical elements such as lenses and curved mirrors. There are three primary approaches to such lensless imaging, based on 1) diffraction by special optical gratings, 2) in-line digital holography and computational phase recovery, and 3) compressive sensing using sets of pseudo-random masks. Each technique has relative strengths and weaknesses in computational burden, image accuracy, and are appropriate for different target applications.

Paper Details

Date Published: 14 May 2018
Proc. SPIE 10656, Image Sensing Technologies: Materials, Devices, Systems, and Applications V, 106560O (14 May 2018); doi: 10.1117/12.2307729
Show Author Affiliations
David G. Stork, Rambus Inc. (United States)

Published in SPIE Proceedings Vol. 10656:
Image Sensing Technologies: Materials, Devices, Systems, and Applications V
Nibir K. Dhar; Achyut K. Dutta, Editor(s)

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