Integral image compression methods

Adrian Stern; Bahram Javidi

doi:10.1117/12.680461

30 August 2006 Integral image compression methods

Adrian Stern, Bahram Javidi

Proceedings Volume 6311, Optical Information Systems IV; 631104 (2006) https://doi.org/10.1117/12.680461
Event: SPIE Optics + Photonics, 2006, San Diego, California, United States

Abstract

Integral imaging (II) is a promising technique for sensing and visualizing of three dimensional (3D) images because it produces autostereoscopic images without special illumination requirements. As with any 3D imaging, in order to produce high quality 3D images, it is required to capture, record, transmit, process and display an enormous amount of optical data. Therefore, a central challenge that rises is to store and transmit efficiently the huge amount of information. This can be done by applying appropriate data compression techniques that remove efficiently the inherent redundancy within the captured data. In this work we survey previously developed II compression methods and, compare their performance. We present a new technique to cope with a common problem with some of the II compression methods, namely the choice of the compression depth to be applied in the various dimensions representing an II.

Citation Download Citation

Adrian Stern and Bahram Javidi "Integral image compression methods", Proc. SPIE 6311, Optical Information Systems IV, 631104 (30 August 2006); https://doi.org/10.1117/12.680461

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