View compensated compression of volume rendered images for remote visualization

Authors:
Hariharan G. Lalgudi;Michael W. Marcellin;Ali Bilgin;Han Oh;Mariappan S. Nadar
Affiliations:
Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ;Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ;Department of Electrical and Computer Engineering and Department of Biomedical Engineering, University of Arizona, Tucson, AZ;Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ;Siemens Corporate Research, Princeton, NJ
Venue:
IEEE Transactions on Image Processing
Year:
2009

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Abstract

Remote visualization of volumetric images has gained importance over the past few years in medical and industrial applications. Volume visualization is a computationally intensive process, often requiring hardware acceleration to achieve a real time viewing experience. One remote visualization model that can accomplish this would transmit rendered images from a server, based on viewpoint requests from a client. For constrained server-client bandwidth, an efficient compression scheme is vital for transmitting high quality rendered images. In this paper, we present a new view compensation scheme that utilizes the geometric relationship between viewpoints to exploit the correlation between successive rendered images. The proposed method obviates motion estimation between rendered images, enabling significant reduction to the complexity of a compressor. Additionally, the view compensation scheme, in conjuction with JPEG2000 performs better than AVC, the state of the art video compression standard.