Compression scheme of sub-image transformed elemental images based on residual images in 3D computational integral imaging systems

Cheol-Hwa Yoo; Ho-Hyun Kang; Eun Soo Kim

doi:10.1117/12.860348

7 September 2010 Compression scheme of sub-image transformed elemental images based on residual images in 3D computational integral imaging systems

Cheol-Hwa Yoo, Ho-Hyun Kang, Eun Soo Kim

Author Affiliations +

Proceedings Volume 7799, Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII; 77990Q (2010) https://doi.org/10.1117/12.860348
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

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.

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Cheol-Hwa Yoo, Ho-Hyun Kang, and Eun Soo Kim "Compression scheme of sub-image transformed elemental images based on residual images in 3D computational integral imaging systems", Proc. SPIE 7799, Mathematics of Data/Image Coding, Compression, and Encryption with Applications XII, 77990Q (7 September 2010); https://doi.org/10.1117/12.860348

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KEYWORDS

3D image processing

Image compression

Silicon

Image processing

Computer programming

Integral imaging

Video compression

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