NEAR-LOSSLESS COMPRESSION OF MEDICAL IMAGES THROUGH ENTROPY-CODED DPCM

被引:112
作者
CHEN, KS
RAMABADRAN, TV
机构
[1] Department of Electrical and Computer Engineering, Iowa State University
关键词
Medical imaging;
D O I
10.1109/42.310885
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
The near-lossless, i.e., lossy but high-fidelity, compression of medical images using the entropy-coded DPCM method is investigated. A source model with multiple contexts and arithmetic coding are used to enhance the compression performance of the method. In implementing the method, two different quantizers each with a large number of quantization levels are considered. Experiments involving several MR (Magnetic Resonance) and US (Ultrasound) images show that the entropy-coded DPCM method can provide compression in the range from 4 to 10 with a peak SNR of about 50 dB for 8-bit medical images. The use of multiple contexts is found to improve the compression performance by about 25% to 30% for MR images and 30% to 35% for US images. A comparison with the JPEG standard reveals that the entropy-coded DPCM method can provide about 7 to 8 dB higher SNR for the same compression performance.
引用
收藏
页码:538 / 548
页数:11
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