Histogram based hologram binarization for DMD application

Maksymilian Chlipała , Hyon-Gon Choo , Tomasz Kozacki


In the paper we investigate hologram binarization method through time multiplexing based on histogram. In the proposed approach input object is divided into N components with equal total intensity distributions. Next, propagation and binarization procedure is employed for each component separately. Presented method is matched to DMD application since it modulates the input light simply by reflection. In the computer simulations the quality of the reconstructed holograms with the proposed method is compared with that of the threshold method for different reconstruction distances. Additionally, efficiency of the technique is verified experimentally during optical reconstructions performed in the holographic display with DMD and LED illumination.
Author Maksymilian Chlipała (FM / IMPh)
Maksymilian Chlipała,,
- The Institute of Micromechanics and Photonics
, Hyon-Gon Choo - Electronics and Telecommunications Research Institute ETRI
Hyon-Gon Choo,,
, Tomasz Kozacki (FM / IMPh)
Tomasz Kozacki,,
- The Institute of Micromechanics and Photonics
Publication size in sheets0.3
Article number1083429
Book Jaroszewicz Leszek R., Kujawińska Małgorzata, Józwik Michał (eds.): Speckle 2018: VII International Conference on Speckle Metrology, Proceedings of SPIE: The International Society for Optical Engineering, vol. 10834, 2018, SPIE - The International Society for Optics and Photonics, ISBN 9781510622975, 677 p.
Keywords in Polishhologramy, DMD, holografia cyfrowa, dane binarne, multipleksing, obrazowanie 3D
Keywords in Englishholograms, DMD, digital holography, binary data, multiplexing, 3D imaging
URL https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10834/2319737/Histogram-based-hologram-binarization-for-DMD-application/10.1117/12.2319737.full?SSO=1
Languageen angielski
Score (nominal)20
Score sourcepublisherList
ScoreMinisterial score = 20.0, 08-01-2020, ChapterFromConference
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper) [Not active]: 2018 = 0.394
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