Title :
Axial scanning geometric super resolved imager
Author :
Borkowski, Amikam ; Marom, Emanuel ; Zalevsky, Zeev
Author_Institution :
Sch. of Eng., Tel-Aviv Univ., Tel-Aviv, Israel
Abstract :
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.
Keywords :
image reconstruction; image resolution; iterative methods; axial plains; axial scanning; detection array; geometric resolution reduction; geometric super resolved imager; high resolution image; image reconstruction; images capture; iterative Gerchberg-Saxton based algorithm; low resolution images; optical wavefront; phase retrieving procedure; scanning process; spatial phase distribution; spatially large pixels; Adaptive optics; Detectors; Image reconstruction; Optical imaging; Spatial resolution; Vectors; Phase retrieval; Superresolution;
Conference_Titel :
Information Optics (WIO), 2014 13th Workshop on
Conference_Location :
Neuchatel
DOI :
10.1109/WIO.2014.6933283