Wavelet compression efficiency investigation for medical images

Marcin Moryc; Wiera Dziech

doi:10.1117/12.674896

26 April 2006 Wavelet compression efficiency investigation for medical images

Marcin Moryc, Wiera Dziech

Proceedings Volume 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV; 61593L (2006) https://doi.org/10.1117/12.674896
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 2005, Wilga, Poland

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.

Citation Download Citation

Marcin Moryc and Wiera Dziech "Wavelet compression efficiency investigation for medical images", Proc. SPIE 6159, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments IV, 61593L (26 April 2006); https://doi.org/10.1117/12.674896

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