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Proceedings Paper

Wavelet compression efficiency investigation for medical images
Author(s): Marcin Moryc; Wiera Dziech
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Paper Abstract

Medical images are acquired or stored digitally. These images can be very large in size and number, and compression can increase the speed of transmission and reduce the cost of storage. In the paper analysis of medical images' approximation using the transform method based on wavelet functions is investigated. The tested clinical images are taken from multiple anatomical regions and modalities (Computer Tomography CT, Magnetic Resonance MR, Ultrasound, Mammography and X-Ray images). To compress medical images, the threshold criterion has been applied. The mean square error (MSE) is used as a measure of approximation quality. Plots of the MSE versus compression percentage and approximated images are included for comparison of approximation efficiency.

Paper Details

Date Published: 26 April 2006
PDF: 5 pages
Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61593L (26 April 2006); doi: 10.1117/12.674896
Show Author Affiliations
Marcin Moryc, Kielce Univ. of Technology (Poland)
Wiera Dziech, Kielce Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 6159:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV

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