Paper
12 May 2010 Driving micro-optical imaging systems towards miniature camera applications
Andreas Brückner, Jacques Duparré, Peter Dannberg, Robert Leitel, Andreas Bräuer
Author Affiliations +
Abstract
Up to now, multi channel imaging systems have been increasingly studied and approached from various directions in the academic domain due to their promising large field of view at small system thickness. However, specific drawbacks of each of the solutions prevented the diffusion into corresponding markets so far. Most severe problems are a low image resolution and a low sensitivity compared to a conventional single aperture lens besides the lack of a cost-efficient method of fabrication and assembly. We propose a microoptical approach to ultra-compact optics for real-time vision systems that are inspired by the compound eyes of insects. The demonstrated modules achieve a VGA resolution with 700x550 pixels within an optical package of 6.8mm x 5.2mm and a total track length of 1.4mm. The partial images that are separately recorded within different optical channels are stitched together to form a final image of the whole field of view by means of image processing. These software tools allow to correct the distortion of the individual partial images so that the final image is also free of distortion. The so-called electronic cluster eyes are realized by state-of-the-art microoptical fabrication techniques and offer a resolution and sensitivity potential that makes them suitable for consumer, machine vision and medical imaging applications.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andreas Brückner, Jacques Duparré, Peter Dannberg, Robert Leitel, and Andreas Bräuer "Driving micro-optical imaging systems towards miniature camera applications", Proc. SPIE 7716, Micro-Optics 2010, 77160J (12 May 2010); https://doi.org/10.1117/12.853976
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Cited by 8 scholarly publications and 2 patents.
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KEYWORDS
Image sensors

Modulation transfer functions

Eye

Image resolution

Distortion

Image processing

Semiconducting wafers

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