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 languageAmerican English
Title of host publicationInformation Optics (WIO), 2014 13th Workshop on
StatePublished - 2014

Bibliographical note

Place of conference:Switzerland


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