Efficient generation of holographic video of three-dimensional objects using spatio-temporal redundancy of three-dimensional video imagery and novel look-up table methods

Sun Hee Kim, Hong Chul Lee, Seung Cheol Kim

Research output: Contribution to journalArticle

Abstract

In this paper, a new method for efficient generation of video hologram for three-dimensional (3D) video is proposed by combined use of redundant data of 3D video and look-up table techniques. That is, 3D video is a collection of sequential 3D images having depth data as well as intensity and neighboring moving pictures in the 3D video differ slightly from each other. Therefore, a method for fast computation of computer generated holography (CGH) patterns for 3D video images is proposed by combined use of temporal redundancy and look-up table techniques. Furthermore, adjacent pixels of a 3D image have very similar values of intensity and depth, and some of them even have exactly the same values of them. In other words, a 3D image has a spatial redundancy in intensity and depth data. Therefore, a method for fast computation of CGH patterns for the 3D image taking into account of the spatial redundancy of the 3D image is proposed. To confirm the feasibility of the proposed method, some experiments with a 3D test object are carried out and the results are compared to those of the conventional methods in terms of a computational speed and a required memory size.

Original languageEnglish
Pages (from-to)105061-1050611
Number of pages945551
JournalJournal of Imaging Science and Technology
Volume55
Issue number1
DOIs
Publication statusPublished - 2011 Jan 1

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Computer generated holography
redundancy
imagery
Redundancy
Holograms
holography
Pixels
Data storage equipment
Experiments
pixels

ASJC Scopus subject areas

  • Chemistry(all)
  • Computer Science Applications
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

Cite this

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abstract = "In this paper, a new method for efficient generation of video hologram for three-dimensional (3D) video is proposed by combined use of redundant data of 3D video and look-up table techniques. That is, 3D video is a collection of sequential 3D images having depth data as well as intensity and neighboring moving pictures in the 3D video differ slightly from each other. Therefore, a method for fast computation of computer generated holography (CGH) patterns for 3D video images is proposed by combined use of temporal redundancy and look-up table techniques. Furthermore, adjacent pixels of a 3D image have very similar values of intensity and depth, and some of them even have exactly the same values of them. In other words, a 3D image has a spatial redundancy in intensity and depth data. Therefore, a method for fast computation of CGH patterns for the 3D image taking into account of the spatial redundancy of the 3D image is proposed. To confirm the feasibility of the proposed method, some experiments with a 3D test object are carried out and the results are compared to those of the conventional methods in terms of a computational speed and a required memory size.",
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