Course: STAT 31140=CAAM 31140, CMSC 31140
Title: Computational Imaging: Theory and Methods
Instructor(s): Rebecca Willett
Class Schedule: Sec 01: M 9:30 AM-12:20 PM in Jones 226
Description: Computational imaging refers to the process of forming images from data where computation plays an integral role. This course will cover basic principles of computational imaging, including image denoising, regularization techniques, linear inverse problems and optimization-based solvers, and data acquisition models associated with tomography and interferometry. Specific topics may include patch-based denoising, sparse coding, total variation, dictionary learning, computational photography, compressive imaging, inpainting, and deep learning for image reconstruction.