Introduction to Computational Imaging and Information Essentials

Course Description

Please note: The course descriptions and instructors listed below are NOT final, it is possible that circumstances beyond our control could necessitate alterations.

2024: Offered remotely as a complete series, registrations for individual lectures will not be permitted, from 10 a.m. to 1 p.m. daily

June 10, Monday

Introduction to Computational Imaging and Information Essentials, Dr. Joseph Mait (Mait-Optik LLC)

This lecture introduces computational imaging, a modern paradigm in imaging in which the burden of image formation is no longer borne solely by optical physics. A key feature of computational imaging is the co-design of front-end optics and post-detection signal processing. The lecture also discusses the motivations for using computational imaging and the degrees of freedom one can exploit in the optical domain to enhance information extraction in post-detection.

June 11, Tuesday

Optical Physics, Dr. Joseph Mait (Mait-Optik LLC)

In this lecture, linear models of optical physics are introduced that can be used to analyze front-end optical encoding, including scalar wave analysis and coherence. These models are the basis for techniques to alter the point spread function of an optical system.

June 12, Wednesday

Transduction and Digital Processing, Dr. Joseph Mait (Mait-Optik LLC)

In the lecture, optical physics is combined with post-detection processing to improve conventional imaging performance and to achieve unconventional imaging capabilities not otherwise possible using optics alone.

June 13, Thursday

Computational Imaging for Phase Measurement and Phase Retrieval, Dr. Joseph Mait (Mait-Optik LLC)

This lecture emphasizes the importance of phase in imaging yet at the same time stressing the difficulties to image and measure it. Phase retrieval using optical measurements combined with signal processing is presented.

June 14, Friday

Examples of Computational Imaging, Dr. Joseph Mait (Mait-Optik LLC)

This lecture provides additional examples of computational imaging in microscopy, millimeter-wave imaging, and spectral-spatial imaging.