Lensless Imaging with a Generalized Convolutional Framework

Abstract

A generalized explicit-restriction convolutional framework for lensless imaging is implemented by incorporating multiple hardware restrictions into the forward model. The proposed framework presents reconstructions with better perceptual quality and 4 × super-resolution.