Computational imaging for aberrated optics (CIAO): experimental results

Robert E. Saperstein; Eliseo Ranalli; Patrick Mock; Anis Husain

doi:10.1117/12.2018159

31 May 2013 Computational imaging for aberrated optics (CIAO): experimental results

Robert E. Saperstein, Eliseo Ranalli, Patrick Mock, Anis Husain

Proceedings Volume 8713, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X; 87130K (2013) https://doi.org/10.1117/12.2018159
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

This paper presents experimental results obtained with Ziva Corp.’s image processing approach called Computational Imaging for Aberrated Optics (CIAO), which is a multi-image deconvolution algorithm. CIAO enhances the performance of imaging systems by accommodating wavefront error. This accommodation allows the designer to improve system performance or reduce system cost. CIAO has been successfully tested in a wide field of view imaging system, which has significant aberrations. These experimental results show CIAO restoration of high quality images from highly blurred images. Specifically, CIAO allows the pupil to open <50% beyond the diffraction limited aperture, which allows more light capture and higher cut-off resolution.

Citation Download Citation

Robert E. Saperstein, Eliseo Ranalli, Patrick Mock, and Anis Husain "Computational imaging for aberrated optics (CIAO): experimental results", Proc. SPIE 8713, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X, 87130K (31 May 2013); https://doi.org/10.1117/12.2018159

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