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
PDF Article | Presentation VideoMore Like This
Basel Salahieh, Jeffrey J. Rodriguez, and Rongguang Liang
CT3F.5 Computational Optical Sensing and Imaging (COSI) 2015
Markus E. Testorf and Michael A. Fiddy
SMC6 Signal Recovery and Synthesis (SRS) 2007
Yunhui Zhu and George Barbastathis
DT1A.6 Digital Holography and Three-Dimensional Imaging (DH) 2015