Spring 2008 - ECEN 5006

 

IMAGING SYSTEMS - COMPUTATIONAL OPTICAL IMAGING

 

Instructor: Prof. Rafael Piestun

 

Imaging has evolved from the early single-image, pixel-based, and model-less methods, to new modalities including multi-image, multisensor, and model-based approaches. The design of computational optical systems simultaneously incorporates optics, optoelectronics, signal processing, and advanced mathematical algorithms. The system performance is controlled by joint optimization of these elements, as opposed to an independent optimization of each separately. The greatest potential is in realizing capabilities and performance that are otherwise impossible to obtain using classical methods.

High impact application areas encompass UV lithography, nano-manufacturing inspection, superresolution microscopy for biological sciences including single molecule studies, environmental sensing, radar image processing, and imaging systems for consumer electronics.

This course covers the fundamentals of multiple optical imaging and sensing modalities, including optical tomography, coherence, synthetic aperture, metamaterials and plasmonic imaging architectures, as well as wavefront coded imaging. The goal is to help understand and design the next generation of imaging systems.

 

Topics

§         Mathematical fundamentals

§         Optical imaging systems

§         Tomography

§         Coded aperture imaging and spectroscopy

§         Radar imaging systems

§         Superresolution

 

Prerequisites: Fourier analysis of signals and systems

 

References

§         Optical imaging and spectroscopy, David Brady, in print

§         Theory of remote image formation, Richard E. Blahut, Cambridge University Press, 2004

§         Foundations of Image Science, Harrison H. Barrett and Kyle J. Myers, Wiley, 2004

§         Principles of Computerized Tomographic Imaging, Avinash C. Kak and Malcolm Slaney, IEEE Press, 1988.

http://www.slaney.org/pct/pct-toc.html

§         Current journal articles

 

Time: Mondays and Wednesdays 11:00 - 12:15 

Place: EE 265

 

Grading: Homework 50%, Project 50%

 

Contact: piestun@colorado.edu, (303) 735 0894

 

Webpage: http://ece.colorado.edu/~piestun/ImagingSystems/COI.htm

 

 

Homework 1 : http://ece.colorado.edu/~piestun/ImagingSystems/HW1-IS.pdf