Mathematics in Imaging (MATH) covers two fundamental aspects of imaging: the physical and mathematical modeling of imaging process and the design and analysis of novel theory and algorithms to address the important challenges related to image reconstruction.

This meeting is an opportunity to gather people from optics, mathematics, and signal processing to cross-fertilize these fields with discussions on novel technologies, methodologies and challenges.
 
Communications that are not directly related to imaging, but could be of interest to the field or unsolved challenges in optics, requiring advanced signal processing tools are particularly welcome.

View the topic categories.

Committee Members

  • Lei Tian, Boston University, United States , General Chair
  • Ulugbek Kamilov, Washington University in St. Louis, United States , Program Chair
  • Pierre Weiss, Université de Toulouse, CNRS, France , Program Chair
  • James Fienup, University of Rochester, United States

Chairs

Lei Tian

Boston University, UNITED STATES
General Chair

Ulugbek Kamilov

Washington University in St. Louis, UNITED STATES
Program Chair

Pierre Weiss

Université de Toulouse, CNRS, FRANCE
Program Chair

Sponsors

OSA - The Optical Society