Adaptive Wavelet Technique for Effective Storage and Fast Internet Transmission of Medical Images

CC
CBMS
2000
13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
Abstract - Adaptive Wavelet Technique for Effective Storage and Fast Internet Transmission of Medical Images

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13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)

Houston, Texas

June 23-June 24

ISBN: 0-7695-0484-1

	ASCII Text	x
	V. Kustov, P. Srinivasan, S. Mitra, S. Shishkin, D. Mehrl, "Adaptive Wavelet Technique for Effective Storage and Fast Internet Transmission of Medical Images," Computer-Based Medical Systems, IEEE Symposium on, pp. 221, 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00), 2000.

	BibTex	x
	@article{ 10.1109/CBMS.2000.856903, author = {V. Kustov and P. Srinivasan and S. Mitra and S. Shishkin and D. Mehrl}, title = {Adaptive Wavelet Technique for Effective Storage and Fast Internet Transmission of Medical Images}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {2000}, issn = {1063-7125}, pages = {221}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2000.856903}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer-Based Medical Systems, IEEE Symposium on TI - Adaptive Wavelet Technique for Effective Storage and Fast Internet Transmission of Medical Images SN - 1063-7125 SP EP A1 - V. Kustov, A1 - P. Srinivasan, A1 - S. Mitra, A1 - S. Shishkin, A1 - D. Mehrl, PY - 2000 VL - 0 JA - Computer-Based Medical Systems, IEEE Symposium on ER -

V. Kustov, Texas Technical University

P. Srinivasan, Texas Technical University

S. Mitra, Texas Technical University

S. Shishkin, Texas Technical University

D. Mehrl, Texas Technical University

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2000.856903

Medical imaging is characterized by strict requirements and high standards for image acquisition, storage, and processing. These requirements and standards translate into large image files that need to be processed, stored and transmitted fast, preferably in real time. The wavelet decomposition using the adaptive algorithm described below maximizes information in the traditional low-resolution part, thus allowing only one fourth of the size of the original image to be processed for effective archiving, and transmission without appreciable loss.

Citation:

V. Kustov, P. Srinivasan, S. Mitra, S. Shishkin, D. Mehrl, "Adaptive Wavelet Technique for Effective Storage and Fast Internet Transmission of Medical Images," cbms, pp.221, 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00), 2000

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