Compression of Elemental Images Using Block Division in 3D Integral Imaging 


Vol. 34,  No. 3, pp. 297-303, Mar.  2009


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  Abstract

Integral imaging is a well-known 3D image recording and display technique. The huge size of integral imaging data requires a compression scheme to store and transmit 3D scenes. In the conventional compression scheme, the data amount of elemental images depends on the various recording condition such as the positional location of a 3D object, the illumination and specification of the lenslet array even if an identical pickup system is used. In this paper, to reduce the dependence of the image characteristics of elemental images on the pickup conditions, a compression scheme using block division on the elemental image of integral imaging is proposed. The proposed scheme provides an improved compression ratio by considering the local similarity of elemental images picked up from three-dimensional objects according to a positional location. To test the proposed scheme, various elemental images are picked up and a compression process is then carried out using a standard MPEG-4. Based on compression ratio results, the proposed compression scheme is improved by approximately 9% compared with the conventional compression method.

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  Cite this article

[IEEE Style]

H. Kang, D. Shin, E. Kim, "Compression of Elemental Images Using Block Division in 3D Integral Imaging," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 3, pp. 297-303, 2009. DOI: .

[ACM Style]

Ho-Hyun Kang, Dong-Hak Shin, and Eun-Soo Kim. 2009. Compression of Elemental Images Using Block Division in 3D Integral Imaging. The Journal of Korean Institute of Communications and Information Sciences, 34, 3, (2009), 297-303. DOI: .

[KICS Style]

Ho-Hyun Kang, Dong-Hak Shin, Eun-Soo Kim, "Compression of Elemental Images Using Block Division in 3D Integral Imaging," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 3, pp. 297-303, 3. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880