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12 September 2014 Digital image processing for wide-angle highly spatially variant imagers
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High resolution, wide field-of-view and large depth-of-focus imaging systems are greatly desired and have received much attention from researchers who seek to extend the capabilities of cameras. Monocentric lenses are superior in performance over other wide field-of-view lenses with the drawback that they form a hemispheric image plane which is incompatible with current sensor technology. Fiber optic bundles can be used to relay the image the lens produces to the sensor's planar surface. This requires image processing to correct for artifacts inherent to fiber bundle image transfer. Using a prototype fiber coupled monocentric lens imager we capture single exposure focal swept images from which we seek to produce extended depth-of-focus images. Point spread functions (PSF) were measured in lab and found to be both angle and depth dependent. This spatial variance enforces the requirement that the inverse problem be treated as such. This synthesis of information allowed us to establish a framework upon which to mitigate fiber bundle artifacts and extend the depth-of-focus of the imaging system.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Stephen J. Olivas, Michal Šorel, Ashkan Arianpour, Igor Stamenov, Nima Nikzad, Glenn M. Schuster, Nojan Motamedi, William M. Mellette, Ron A. Stack, Adam Johnson, Rick Morrison, Ilya P. Agurok, and Joseph E. Ford "Digital image processing for wide-angle highly spatially variant imagers", Proc. SPIE 9193, Novel Optical Systems Design and Optimization XVII, 91930B (12 September 2014);

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