Ultra-miniature computational sensors and imagers: Incorporating algorithms to yield final digital images (Conference Presentation)

David G. Stork

doi:10.1117/12.2307729

14 May 2018 Ultra-miniature computational sensors and imagers: Incorporating algorithms to yield final digital images (Conference Presentation)

David G. Stork

Author Affiliations +

Proceedings Volume 10656, Image Sensing Technologies: Materials, Devices, Systems, and Applications V; 106560O (2018) https://doi.org/10.1117/12.2307729
Event: SPIE Commercial + Scientific Sensing and Imaging, 2018, Orlando, FL, United States

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.

Conference Presentation

Citation Download Citation

David G. Stork "Ultra-miniature computational sensors and imagers: Incorporating algorithms to yield final digital images (Conference Presentation)", Proc. SPIE 10656, Image Sensing Technologies: Materials, Devices, Systems, and Applications V, 106560O (14 May 2018); https://doi.org/10.1117/12.2307729

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