A convex variational model for learning convolutional image atoms from incomplete data

Antonin Chambolle, Martin Holler Thomas Pock

A variational model for learning convolutional image atoms from corrupted and/or incomplete data is introduced and analyzed both in function space and numerically. Building on lift…