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Proceedings Paper

Scalable low complexity image coder for remote volume visualization
Author(s): Hariharan G. Lalgudi; Michael W. Marcellin; Ali Bilgin; Mariappan S. Nadar
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Paper Abstract

Remote visualization of volumetric data has gained importance over the past few years in order to realize the full potential of tele-radiology. Volume rendering is a computationally intensive process, often requiring hardware acceleration to achieve real time visualization. Hence a remote visualization model that is well-suited for high speed networks would be to transmit rendered images from the server (with dedicated hardware) based on view point requests from clients. In this regard, a compression scheme for the rendered images is vital for efficient utilization of the server-client bandwidth. Also, the complexity of the decompressor should be considered so that a low end client workstation can decode images at the desired frame rate. We present a scalable low complexity image coder that has good compression efficiency and high throughput.

Paper Details

Date Published: 15 September 2008
PDF: 8 pages
Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 707317 (15 September 2008); doi: 10.1117/12.794430
Show Author Affiliations
Hariharan G. Lalgudi, The Univ. of Arizona (United States)
Michael W. Marcellin, The Univ. of Arizona (United States)
Ali Bilgin, The Univ. of Arizona (United States)
Mariappan S. Nadar, Siemens Corporate Research (United States)


Published in SPIE Proceedings Vol. 7073:
Applications of Digital Image Processing XXXI
Andrew G. Tescher, Editor(s)

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