ABSTRACT
The past two decades brought significant progress in the development of efficient methods for classical deconvolution and super resolution problems in both single and multi-image scenarios. Most of these methods work with blurs modeled by convolution, which assumes that the properties of blur are the same in the whole image (space-invariant blur). Unfortunately, in practice, the blur is typically spatially variant. The most common types of space-variant blur are defocus, optical aberrations, and motion blur caused by either camera motion or motion of objects.
