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Depth-of-field enhancement in integral imaging by selective depth-deconvolution
Department of Optics, University of Valencia, E-46100 Burjassot, Spain.
Department of Optics, University of Valencia, E-46100 Burjassot, Spain.
Department of Optics, University of Valencia, E-46100 Burjassot, Spain.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and System science. (Realistic3D)ORCID iD: 0000-0003-3751-6089
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2014 (English)In: IEEE/OSA Journal of Display Technology, ISSN 1551-319X, E-ISSN 1558-9323, Vol. 10, no 3, 182-188 p.Article in journal (Refereed) Published
Abstract [en]

One of the major drawbacks of integral imaging technique is its limited depth of field. Such limitation is imposed by the numerical aperture of the microlenses. In this paper we propose a method to extend the depth of field of integral imaging systems in the reconstruction stage. The method is based on the combination of deconvolution tools and depth filtering of each elemental image using disparity map information. We demonstrate our proposal presenting digital reconstructions of a 3D scene focused at different depths with extended depth of field.

Place, publisher, year, edition, pages
IEEE/OSA , 2014. Vol. 10, no 3, 182-188 p.
Keyword [en]
Deconvolution, disparity map, depth-of-field, integral imaging
National Category
Signal Processing Physical Sciences
Identifiers
URN: urn:nbn:se:miun:diva-20843DOI: 10.1109/JDT.2013.2291110ISI: 000331967900002Scopus ID: 2-s2.0-84896890626Local ID: STCOAI: oai:DiVA.org:miun-20843DiVA: diva2:681471
Available from: 2013-12-19 Created: 2013-12-19 Last updated: 2017-09-04Bibliographically approved

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Sjöström, MårtenOlsson, Roger
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