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http://dx.doi.org/10.9717/kmms.2016.19.3.548

Implementation of an Emulator for the Integrated Image Reconstruction according to Distance  

Jang, Ha Eun (Dept. of Multimedia Science, Sookmyung Women's University)
Lee, Eun Ji (Dept. of Multimedia Science, Sookmyung Women's University)
Lee, Yeon Ju (Dept. of Multimedia Science, Sookmyung Women's University)
Lim, Soon-Bum (Dept. of Multimedia Science, Sookmyung Women's University)
Publication Information
Abstract
Integral imaging is an auto-stereoscopic display method that can produce 3D image of a finite viewing window through an array of micro elemental lenses. Integral imaging requires the pickup part of each elemental images acquisition and display part of reconstruction of the images. The successful reconstructed image depends on various parameters such as distance between lens arrays and display device, focal length of lenses, and a number of the array. In this paper, we present reconstruction emulator for display of Integral imaging in order to adjust parameters for 3D contents reconstruction and to observe the result from different configuration. Especially, we provide the user interface for the emulator to control the distance easily. We have confirmed through various experiments that the emulator adjusted the distance and could check error in the process of creating elemental images.
Keywords
3D Display; Integral Imaging; Reconstructed Image; Lens Array Emulator; Computational Reconstruction;
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  • Reference
1 G. Lippmann, “La Photographie Integrale,” Journal of Comptes-Rendus Academie des Sciences, Vol. 146, pp. 446-451, 1908.
2 H. Arimoto and B. Javidi, “Integral Three-dimensional Imaging with Digital Reconstruction,” Optics Letters, Vol. 26, pp. 157-159, 2001.   DOI
3 D.H. Shin, B.K. Lee, and J.J. Lee, “3D Image Acquisition and Reconstruction Studies Using Computational Integral Imaging,” Journal of Korea Multimedia Society, Vol. 13, No. 4, pp. 40-46, 2009.
4 Y.W. Jeong, Study on Computational Integral Imaging Reconstruction Techniques based on the Lenslet Array Model, Doctor's Thesis of Kwangwoon University of Technology, 2005.
5 A. Stern and B. Javidi, “Three Dimensional Image Sensing, Visualization, and Processing Using Integral Imaging,” Proceedings of the IEEE, Vol. 94, No. 3, pp. 591-607, 2006.   DOI
6 D.H. Shin, Y.M. Kwon, and E.S. Kim, “Computational View-point Reconstruction method in Three-dimensional Integral Imaging Using Lenslet Array Model,” Korea Institute of Information and Communication Engineering, Vol. 10, No. 10, pp. 1848-1853, 2006.
7 D.H. Shin and H. Yoo, "Analysis of 3D Reconstructed Images Based on Signal Model of Plane-based Computational Integral Imaging Reconstruction Technique," Korea Institute of Information and Communication Engineering, Vol. 13, No. 1, pp. 121-126, 2009.
8 S.H. Hong and B. Javidi, "Distortion-tolerant 3D Recognition of Occluded Objects Using Computational Integral Imaging," Journal of Optics Express, Vol. 14, Issue 25, pp. 12085-12095, 2006.   DOI
9 S.H. Hong, J.S. Jang, and B. Javidi, “Threedimensional Volumetric Object Reconstruction using Computational Integral Imaging,” Journal of Optics Express, Vol. 12, Issue 3, pp. 483-491, 2004.   DOI
10 J.S. Park, D.C. Hwang, D.H. Shin, and E.S. Kim, "Resolution-enhanced 3D Image Correlator Using Computationally Reconstructed Integral Images," Optics Communication, Vol. 276, Issue 1, pp. 72-79, 2007.   DOI