Axial scanning geometric super resolved imager

Amikam Borkowski, Emanuel Marom, Zeevf Zalevsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


We propose a new geometric super resolving approach that overcomes the geometric resolution reduction caused due to the spatially large pixels of the detection array while the improvement process is obtained by applying axial scanning and a phase retrieving procedure. In the scanning process, several images are captures corresponding to focus made on different axial plains. By applying iterative Gerchberg-Saxton based algorithm we manage to retrieve the spatial phase distribution of the optical wavefront and to reconstruct the originally geometrically high resolution image from the captured set of low resolution images.

Original languageEnglish
Title of host publication2014 13th Workshop on Information Optics, WIO 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959730
StatePublished - 21 Oct 2014
Event2014 13th Workshop on Information Optics, WIO 2014 - Neuchatel, Switzerland
Duration: 7 Jul 201411 Jul 2014

Publication series

Name2014 13th Workshop on Information Optics, WIO 2014


Conference2014 13th Workshop on Information Optics, WIO 2014

Bibliographical note

Publisher Copyright:
© 2014 IEEE.


  • Phase retrieval
  • Superresolution


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