Optical Imaging and Spectroscopy develops a unique systems analysis approach to optical sensor design, including revolutionary approaches to sampling and optical processing. Geometric, wave and statistical models of image fields are developed and powerful statistical methods for imaging system analysis are described. Compressive and generalized sampling and image inference algorithms are considered along with numerous examples of spectrograph and imager design strategies. Analytic strategies for analyzing the limits imager depth of field, resolution and field of view are presented. The text targets biological, chemical and physical scientists interested in understanding the limits of sensor science as well as optical and electrical engineers and physicists interested in pursuing advanced computational imager design. The text is available from Amazon.com at left and from numerous additional sources.
Optical Imaging and Spectroscopy presents numerical
simulation and analysis using Matlab and Mathematica. Code used to
generate figures in the text is provided here. Recent interest has focused
on Fig. 2 of "Design
of thin multiple aperture infrared cameras." Matlab code
to generate this figure is online here.
- Optical Imaging and Spectroscopy is offered in the Spring 2011 term at Duke University. On line registration is available, contact Professor Brady for details. The course syllabus is on line here.
- A related short course was taught at the Institute for Mathematics and its Applications at the University of Minnesota in 2005, ppt slides and video from that course are on line.
- Homework solutions and additional support is available to faculty teaching from Optical Imaging and Spectroscopy. For access to these resources, please register here. Registered users may proceed to the instructor site.
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