A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data
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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 lifting and relaxation strategies, the proposed approach is convex and allows for si... ...
