Unsupervised Deep Basis Pursuit: Learning inverse problems without ground-truth data

Jonathan I. Tamir, Stella X. Yu, Michael Lustig

Basis pursuit is a compressed sensing optimization in which the l1-norm is minimized subject to model error constraints. Here we use a deep neural network prior instead of l1-regul…