Spectral imaging is a fundamental diagnostic technique with widespread application.
Conventional spectral imaging approaches have intrinsic limitations on spatial and spectral …

Convolutional Inverse Problems in Imaging with Convolutional Sparse Models Page 1 JW2A.9.pdf
Imaging and Applied Optics 2019 (COSI, IS, MATH, pcAOP) © OSA 2019 Convolutional …

Spectral imaging is a fundamental diagnostic technique in physical sciences with
application in diverse fields such as physics, chemistry, biology, medicine, astronomy, and …

Computational imaging is the process of forming images from indirect measurements using
computation. In this thesis, we develop deep learning-based unrolled reconstruction …

Computational imaging is the process of indirectly forming images from measurements
using image reconstruction algorithms that solve inverse problems. In many inverse …

Many inverse problems in imaging involve measurements that are in the form of
convolutions. Sparsity priors are widely exploited in their solutions for regularization as …