@inproceedings{16f06f91282148f8940b8e1ab369b18d,
title = "Scalable low complexity image coder for remote volume visualization",
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.",
keywords = "Image compression, Remote visualization",
author = "Lalgudi, {Hariharan G.} and Marcellin, {Michael W.} and Ali Bilgin and Nadar, {Mariappan S.}",
year = "2008",
doi = "10.1117/12.794430",
language = "English (US)",
isbn = "9780819472939",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Applications of Digital Image Processing XXXI",
note = "Applications of Digital Image Processing XXXI ; Conference date: 11-08-2008 Through 14-08-2008",
}