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Proceedings Paper

Compression scheme of sub-image transformed elemental images based on residual images in 3D computational integral imaging systems
Author(s): Cheol-Hwa Yoo; Ho-Hyun Kang; Eun Soo Kim
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Paper Abstract

In this paper, we proposed a highly enhanced compression scheme of the integral imaging (InIm) applying to the residual image (RI) array transformed from Sub-Image Array (SIA). In the pickup process, the object through the virtual pinhole array is recorded in a computer as Elemental Image Array (EIA). Then, SIA is generated from EIA. It provides enhanced compression efficiency by improving the similarity between sub-images (SIs). In the proposed scheme, the reference image is the first one of rearranged SIs based on spiral scanning topology and the RIs are generated from difference between reference image and SIs. Finally, we model the reference image and RIs in InIm as consecutive frames in a moving picture. Therefore, the video compression scheme such as MPEG-4 can be applied to data reduction of the consecutive frames. Experimental results are presented to illustrate the image quality of MPEG-4 and JPEG with the same compression rate. Some experiment is carried out and compression efficiency of the proposed scheme has been improved 296.02% in average according to the each quality factor.

Paper Details

Date Published: 8 September 2010
PDF: 10 pages
Proc. SPIE 7799, Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII, 77990Q (8 September 2010); doi: 10.1117/12.860348
Show Author Affiliations
Cheol-Hwa Yoo, Kwangwoon Univ. (Korea, Republic of)
Ho-Hyun Kang, Kwangwoon Univ. (Korea, Republic of)
Eun Soo Kim, Kwangwoon Univ. (Korea, Republic of)


Published in SPIE Proceedings Vol. 7799:
Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII
Mark S. Schmalz; Gerhard X. Ritter; Junior Barrera; Jaakko T. Astola, Editor(s)

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