Point-spread-function (PSF) engineering is a powerful computational imag...
Many imaging inverse problemsx2014such as image-dependent
in-painting an...
The United States coastline spans 95,471 miles; a distance that cannot b...
Deep image prior (DIP) is a recently proposed technique for solving imag...
To solve inverse problems, plug-and-play (PnP) methods have been develop...
We present a self-supervised and self-calibrating multi-shot approach to...
For image recovery problems, plug-and-play (PnP) methods have been devel...
Convolutional neural networks (CNN) have emerged as a powerful tool for
...
Recent work in machine learning shows that deep neural networks can be u...
This paper introduces and solves the simultaneous source separation and ...
Non-line-of-sight (NLOS) imaging and tracking is an emerging paradigm th...
High-dynamic-range (HDR) imaging is crucial for many computer graphics a...
Generalized Vector Approximate Message Passing (GVAMP) is an efficient
i...
Learning from unlabeled and noisy data is one of the grand challenges of...
Phase retrieval (PR) algorithms have become an important component in ma...
Compressive image recovery is a challenging problem that requires fast a...