MP7a.4

Bayesian Cramer-Rao Bound Optimal Design of Imaging Systems using Score-based Data-driven Image Priors

Evan Scope Crafts, Umberto Villa, University of Texas at Austin, United States
Session:
MP7a: Score-based Methods for Computational Imaging Lecture
Track:
Speech, Image and Video Processing
Location:
Room 7
Presentation Time:
Mon, 27 Oct, 14:45 - 15:10 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session MP7a
MP7a.1: Plug-and-Play 3D Imaging with 2D Diffusion Priors
Wenhan Guo, Yu Sun, Johns Hopkins University, United States
MP7a.2: Phase-Adaptive Averaging and Score-Based Denoising for Inverse Problems in Diffusion Imaging
Toygan Kilic, Yasar Utku Alcalar, Steen Moeller, Mehmet Akcakaya, University of Minnesota, United States
MP7a.3: Practical Multiscale Diffusion Models
Michael McCann, Brendt Wohlberg, Cristina Garcia-Cardona, Los Alamos National Laboratory, United States
MP7a.4: Bayesian Cramer-Rao Bound Optimal Design of Imaging Systems using Score-based Data-driven Image Priors
Evan Scope Crafts, Umberto Villa, University of Texas at Austin, United States
Contacts