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Proceedings Paper

An image restoration approach for artificial compound eyes
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Paper Abstract

Natural compound eyes combine a small eye volume with a large field of view (FOV) at the cost of comparatively low spatial resolution. Based on these principles, an artificial apposition compound-eye imaging system has been developed. In this system the total FOV is given by the number of channels along one axis multiplied with the sampling angle between channels. In order to increase the image resolution for a fixed FOV the sampling angle is made small. However, depending on the size of the acceptance angle, the FOVs of adjacent channels overlap which causes a reduction of contrast in the overall image. In this work we study the feasibility of using digital post-processing methods for images obtained with a thin compound-eye camera to overcome this reduction in contrast. We chose the Wiener filter for the post-processing and carried out simulations and experimental measurements to verify its use.

Paper Details

Date Published: 3 March 2008
PDF: 10 pages
Proc. SPIE 6812, Image Processing: Algorithms and Systems VI, 68120O (3 March 2008); doi: 10.1117/12.765328
Show Author Affiliations
Raúl Tudela, Fraunhofer Institute for Applied Optics and Precision Engineering (Germany)
Andreas Brückner, Fraunhofer Institute for Applied Optics and Precision Engineering (Germany)
Jacques Duparré, Fraunhofer Institute for Applied Optics and Precision Engineering (Germany)
Andreas Bräuer, Fraunhofer Institute for Applied Optics and Precision Engineering (Germany)


Published in SPIE Proceedings Vol. 6812:
Image Processing: Algorithms and Systems VI
Jaakko T. Astola; Karen O. Egiazarian; Edward R. Dougherty, Editor(s)

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