DocumentCode :
2195047
Title :
Lossless wavelet compression for telemammography
Author :
Abdel-Qader, Ikhlas ; Nithianandan, N. ; Bruce, Loft ; Miller, Damon ; Venkatraman, Apama
Author_Institution :
Western Michigan Univ., Kalamazoo, MI
fYear :
2004
fDate :
26-27 Aug. 2004
Firstpage :
48
Lastpage :
52
Abstract :
Transmission of mammographic images in real time and of sufficient accuracy to render accurate diagnosis is under demand. This requires efficient lossless image compression schemes. Image compression has been a major research area for the past few decades despite the massive growth in data storage and transmission speeds. Moreover, wavelets have become the cutting edge techniques in image compression. Thus the work presented in this paper is to address some of the questions. Several types of wavelets are utilized to identify the best wavelet to deliver a lossless compression scheme for mammographic images. Compression results for different mammograms are presented.
Keywords :
data compression; image coding; mammography; medical image processing; lossless image compression schemes; lossless wavelet compression; mammographic images transmission; telemammography; Biomedical imaging; Breast cancer; Compression algorithms; Filter bank; Fourier transforms; Image analysis; Image coding; Propagation losses; Wavelet transforms; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electro/Information Technology Conference, 2004. EIT 2004. IEEE
Conference_Location :
Milwaukee, WI
Print_ISBN :
978-0-7803-8750-8
Electronic_ISBN :
978-0-7803-8751-5
Type :
conf
DOI :
10.1109/EIT.2004.4569365
Filename :
4569365
Link To Document :
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