Minimum weighted norm superresolution imaging is used to design superresolution filters. The performance of the non-iterative design algorithm is evaluated and compared with exiting methods to compute superresolution filters.

© 2016 Optical Society of America

PDF Article
More Like This
Linear spectral estimation and the design of superresolution filters

Markus E. Testorf and Michael A. Fiddy
FThV4 Frontiers in Optics (FiO) 2007

Superresolution imaging and superoscillation design

Markus E. Testorf
MW1D.3 Mathematics in Imaging (MATH) 2019

Preliminary Results of the Generalized Extremal Optimization Algorithm Applied in the Design of Optical Systems

Bráulio Fonseca Carneiro de Albuquerque and Fabiano Luis de Sousa
WE16 Latin America Optics and Photonics Conference (LAOP) 2010


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access OSA Member Subscription