Scalable low complexity image coder for remote volume visualization
Hariharan G. Lalgudi, Michael W. Marcellin, Ali Bilgin, Mariappan S. Nadar · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2008
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.