Abstract
In today modern medical world, digital medical imaging is becoming more common. A powerful processing system is needed to handle a large data set which accuracy and time is of the essence. This paper presents wavelet based medical image coding which is adopted from JPEG2000 Part 1 image coding standard to provide lossless image compression. The image compression scheme is implemented in a grid computing system to aim a powerful computing capability and to cut down computing time. Wavelet-based image processing naturally fit with grid computing because the original image can be split into smaller blocks, which later can be processed independently.
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VI. References
[1] Anastassopoulos, G.K. Skodras, A.N., “JPEG2000 ROI coding in medical imaging applications, Democritus University of Greece, University of Patras, Greece.
[2] D. Thain, T. Tannenbaum, and M. Livny (2005), Distributed computing in practice: The condor experience (Submitted for publication)”, Concurrency and Computation: Practice and Experience, Vol. 17, No. 2–4, 2005, pp 323–356
[3] Taubman, David, Remote browsing of JPEG2000 images, The University of New South Wales, Sydney, Australia.
[4] Skodras, A.N. Christopoulos, C.A. Ebrahimi, T.(2000) “JPEG2000: The upcoming still image compression standard, Proceedings of the 11th Portuguese Conference on Pattern Recognition (REPCA00D20), 2000, pp. 359–366, Porto, Portugal
[5] T. Tannenbaum, D. Wright, K. Miller, and M. Livny (2002) Condor-A distributed job scheduler, Sterling editor, Beowulf Cluster Computing with Linux, The MIT Press, 2002. Available: http://www.cs.wisc.edu/condor/doc/beowulf-chapter-rev1.pdf1]
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Bangun, P.R., Surbakti, N., Suksmono, A.B., Mengko, T.L.R. (2008). The Implementation of Wavelet-based Medical Image Compression Using JPEG2000 Image Coding Standard on a Grid Computing Scheme Utilizing Condor Distributed Batch System. In: Abu Osman, N.A., Ibrahim, F., Wan Abas, W.A.B., Abdul Rahman, H.S., Ting, HN. (eds) 4th Kuala Lumpur International Conference on Biomedical Engineering 2008. IFMBE Proceedings, vol 21. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69139-6_143
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DOI: https://doi.org/10.1007/978-3-540-69139-6_143
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69138-9
Online ISBN: 978-3-540-69139-6
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