Wavelet compression efficiency investigation for medical images
被引:0
作者:
Moryc, M
论文数: 0引用数: 0
h-index: 0
机构:
Kielce Univ Technol, Div Telecommun & Photon, Al Tysiaclecia PP7, PL-25314 Kielce, PolandKielce Univ Technol, Div Telecommun & Photon, Al Tysiaclecia PP7, PL-25314 Kielce, Poland
Moryc, M
[1
]
Dziech, W
论文数: 0引用数: 0
h-index: 0
机构:
Kielce Univ Technol, Div Telecommun & Photon, Al Tysiaclecia PP7, PL-25314 Kielce, PolandKielce Univ Technol, Div Telecommun & Photon, Al Tysiaclecia PP7, PL-25314 Kielce, Poland
Dziech, W
[1
]
机构:
[1] Kielce Univ Technol, Div Telecommun & Photon, Al Tysiaclecia PP7, PL-25314 Kielce, Poland
来源:
PHOTONICS APPLICATIONS IN ASTRONOMY, COMMUNICATIONS, INDUSTRY, AND HIGH-ENERGY PHYSICS EXPERIMENTS IV
|
2006年
/
6159卷
关键词:
medical images;
image compression;
wavelet transform;
D O I:
10.1117/12.674896
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
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.