Reducing Computational Complexity and Memory Usage of Iterative Hologram Optimization Using Scaled Diffraction

Tomoyoshi Shimobaba , Michał Makowski , Takayuki Takahashi , Yota Yamamoto , Ikuo Hoshi , Takashi Nishitsuji , Naoto Hoshikawa , Takashi Kakue , Tomoyoshi Ito

Abstract

A complex amplitude hologram can reconstruct perfect light waves. However, as there are no spatial light modulators that are able to display complex amplitudes, we need to use amplitude, binary, or phase-only holograms. The images reconstructed from such holograms will deteriorate; to address this problem, iterative hologram optimization algorithms have been proposed. One of the iterative algorithms utilizes a blank area to help converge the optimization; however, the calculation time and memory usage involved increases. In this study, we propose to reduce the computational complexity and memory usage of the iterative optimization using scaled diffraction, which can calculate light propagation with different sampling pitches on a hologram plane and object plane. Scaled diffraction can introduce a virtual blank area without using physical memory. We further propose a combination of scaled diffraction-based optimization and conventional methods. The combination algorithm improves the quality of a reconstructed complex amplitude while accelerating optimization.
Author Tomoyoshi Shimobaba
Tomoyoshi Shimobaba,,
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, Michał Makowski (FP / OPD)
Michał Makowski,,
- Optics and Photonics Division
, Takayuki Takahashi
Takayuki Takahashi,,
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, Yota Yamamoto
Yota Yamamoto,,
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, Ikuo Hoshi
Ikuo Hoshi,,
-
, Takashi Nishitsuji
Takashi Nishitsuji,,
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, Naoto Hoshikawa
Naoto Hoshikawa,,
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, Takashi Kakue
Takashi Kakue,,
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, Tomoyoshi Ito
Tomoyoshi Ito,,
-
Journal seriesApplied Sciences-Basel, [Applied Sciences (Switzerland)], ISSN 2076-3417
Issue year2020
Vol10
No3
Pages1132
ASJC Classification1507 Fluid Flow and Transfer Processes; 1706 Computer Science Applications; 1508 Process Chemistry and Technology; 2200 General Engineering; 3105 Instrumentation; 2500 General Materials Science
DOIDOI:10.3390/app10031132
Languageen angielski
Score (nominal)70
Score sourcejournalList
ScoreMinisterial score = 70.0, 23-06-2020, ArticleFromJournal
Publication indicators Scopus Citations = 1; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.985; WoS Impact Factor: 2018 = 2.217 (2) - 2018=2.287 (5)
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