infoLeNS Seminar: “Emerging computational imaging inverse problems: from theory to algorithms”
infoLeNS Seminar: “Emerging computational imaging inverse problems: from theory to algorithms”
In this talk, I will focus on two challenging imaging systems: snapshot compressive imaging and coherent imaging under speckle noise interference. I will begin by reviewing the core mathematical modeling of the inverse problem corresponding to each system. I will develop a maximum likelihood estimator (MLE)-based optimization for each, employing untrained neural networks (NNs) to […]