Optimized depth of field methodology using annular liquid crystal modulator assisted by image processing

An optical-digital tunable depth of field (DOF) methodology is presented. The suggested methodology forms a fused image based on the sharpest similar depth regions from a set of source images taken with different phase masks. Each phase mask contains a different degree of DOF extension and is implem...

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Published in:Applied optics. Optical technology and biomedical optics 2017-05, Vol.56 (13), p.3764
Main Authors: Shukrun, Naama, Solodar, Asi, Aizen, Amir, August, Isaac, Klapp, Iftach, Yitzhaky, Yitzhak, Abdulhalim, Ibrahim
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container_title Applied optics. Optical technology and biomedical optics
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creator Shukrun, Naama
Solodar, Asi
Aizen, Amir
August, Isaac
Klapp, Iftach
Yitzhaky, Yitzhak
Abdulhalim, Ibrahim
description An optical-digital tunable depth of field (DOF) methodology is presented. The suggested methodology forms a fused image based on the sharpest similar depth regions from a set of source images taken with different phase masks. Each phase mask contains a different degree of DOF extension and is implemented by using an annular liquid crystal spatial light modulator, which consists of 16-ring electrodes positioned in the pupil plane. A detailed description of the optical setup and characterization of selected pupil phase masks as well as optimization of the binary phase mask for maximal DOF extension is presented. Experimental results are investigated both qualitatively and quantitatively. In addition, the algorithm's results are compared with those of some well-known fusion algorithms and proved its supremacy.
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title Optimized depth of field methodology using annular liquid crystal modulator assisted by image processing
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