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An image restoration approach for artificial compound eyes

: Tudela, R.; Brückner, A.; Duparré, J.; Bräuer, A.


Astola, J.T. ; Society of Photo-Optical Instrumentation Engineers -SPIE-, Bellingham/Wash.; Society for Imaging Science and Technology -IS&T-:
Image processing: Algorithms and systems VI : 28 - 29 January 2008, San Jose, California, USA; Proceedings of Electronic imaging, science and technology
Bellingham, WA: SPIE, 2008 (SPIE Proceedings Series 6812)
ISBN: 978-0-8194-6984-7
ISSN: 0277-786X
Paper 68120O
Conference "Image Processing - Algorithms and Systems" <6, 2008, San Jose/Calif.>
Conference Paper
Fraunhofer IOF ()

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.