Abstract

Regularized superresolution techniques incorporate optimizers and priors to deliver appealing restorations even though deviating from the physical reconstructions. We propose a non-regularized superresolution algorithm that directly solves a fully-characterized multi-shift imaging system to grant realistic restorations without such constraints.

© 2015 Optical Society of America

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