Compression of Medical Image Using Vector Quantization

被引：0

作者：

Phanprasit, Tanasak ^{[1
]}

机构：

[1] Bangkok Univ, Dept Elect & Elect Engn, Bangkok 12120, Thailand

来源：

6TH BIOMEDICAL ENGINEERING INTERNATIONAL CONFERENCE (BMEICON 2013) | 2013年

关键词：

Vector Quantization; Discrete Wavelet Transform; Fuzzy C-Means; Curvelet Transform; Support Vector Machine;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Medical image compression is necessary to store the huge database in Medical Centres and medical data transfer for the purpose of diagnosis. This paper attempts to improve the higher peak signal to noise ratio (PSNR) by using the system error compensation (SEC) method. The SEC design is based on quantization and curvelet transform (CT) decomposes the system error (E) to six scales. Only the scale 1 and scale 6 are constructed to error compensation. The simulation results are shown that the proposed method can improve 40.48 %, 9.69 % both in terms of bit rate and PSNR when compared to the conventional method.

引用

页数：4

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