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Optical Engineering

Compression of ray information in three-dimensional integral imaging
Author(s): Ju-Seog Jang; Seokwon Yeom; Bahram Javidi
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Paper Abstract

We present a method to compress ray information in three-dimensional (3-D) integral imaging (II) using the Karhunen-Loeve transform (KLT). Elemental images in II are highly correlated because they are picked-up by numerous lenslets, thus, the KLT can compress an integral image more effectively than 2-D ordinary images. In the hybrid coding scheme, the KLT is distinctly applied to disjoint subsets which are partitioned by a vector quantization (VQ). In the optical experiments, we show that 3-D image quality degradation is negligible if approximately 10% of eigenvectors with the largest eigenvalues are used. We also evaluate the quality of uncompressed images by signal-to-noise ratio (SNR) and peak-to-peak signal-to-noise ratio (PSNR). The presented coding scheme is shown to be better than JPEG (Joint Photographic Experts Group) for the lower bit rates in the II compression. Optical and numerical experiments are presented.

Paper Details

Date Published: 1 December 2005
PDF: 10 pages
Opt. Eng. 44(12) 127001 doi: 10.1117/1.2148947
Published in: Optical Engineering Volume 44, Issue 12
Show Author Affiliations
Ju-Seog Jang, Univ. of Connecticut (United States)
Seokwon Yeom, Univ. of Connecticut (United States)
Bahram Javidi, Univ. of Connecticut (United States)

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