KEYWORDS: Imaging systems, Image processing, Deconvolution, Spatial frequencies, Modulation transfer functions, Optical transfer functions, Image deconvolution, Point spread functions, Image filtering, Signal to noise ratio
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.
First responders have the need to quickly assess a situation; Understanding if there are biological or explosive hazards
present can influence a plan of action. The need for real-time information, however, precludes most laboratory analysis
techniques. The requirement of not disturbing a sample until it is understood makes the problem even more challenging.
Visual identification can go a long way in assessing a threat, and now technologies in the mid-infrared (2 to 20 μm)
spectral region allow extending that "vision" into a spectral region known for its chemical identification capabilities.
This paper considers the fusion of tunable quantum cascade lasers with infrared focal plane arrays to create a true
chemical imager. Instrumentation is developed that allows real-time chemical analysis of residues and powders in a noncontact
fashion. Identification of explosive residues and biological powders are considered as examples of use of this
new technology for first responders. As opposed to many fielded technologies that allow only point detection of
substances, and often require many seconds to analyze a sample, mid-infrared chemical imagers provide context in
addition to sample analysis in real time. They are also ideal for image fusion techniques combining visual images with
chemical images from an infrared multispectral analysis. This type of chemical overlay on live video provides first
responders with a powerful tool for rapid threat assessment.
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