C27/C67 Computational Imaging: Physics and Algorithms
Offered under: 2.C27, 2.C67, 3.C27, 3.C67, 6.C27, 6.C67
Term(s): Fall only
Level: Undergraduate and Graduate
Prerequisite: (1.000, 1.00, 2.086, 3.019, or 6.100A) and 18.C06
Instructors: George Barbastathis (Mechanical Engineering), James LeBeau (Materials Science and Engineering), Rajeev Ram (EECS), Sixian You (EECS)
Contemporary understanding of imaging is essentially computational: it involves encoding onto a form of radiation the information about a physical object, transferring the radiation through the imaging system, converting it to a digital signal, and finally computationally decoding the object information and presenting it to the user. This class introduces a unified formulation of computational imaging systems in the form of a three-round “learning spiral:” in the first two rounds of the spiral, the instructors describe the physical and algorithmic parts in two exemplary imaging systems; in the third round, students conduct themselves in the context of the class project on an imaging system of their choice.
The undergraduate and graduate versions share lectures but have different recitations. Includes optional “clinics” throughout the term to even out background knowledge of linear algebra, optimization, and computational imaging-related programming best practices for students of diverse disciplinary backgrounds.
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