A wavelet-denoising approach for removing background noise in medical images

被引：0
|
作者：
Hua, Z [1 ]
Chong, MN [1 ]
机构：
[1] Nanyang Technol Univ, Sch Appl Sci, Singapore 639798, Singapore
来源：
ICICS - PROCEEDINGS OF 1997 INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATIONS AND SIGNAL PROCESSING, VOLS 1-3: THEME: TRENDS IN INFORMATION SYSTEMS ENGINEERING AND WIRELESS MULTIMEDIA COMMUNICATIONS | 1997年
关键词：
D O I：
10.1109/ICICS.1997.652126
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a new noise removal algorithm for removing the background noise in medical images. In this algorithm, techniques such as noise suppression in wavelet transform (WT) domain, Sub-domain Noise Detection (SND) and Adaptive Least Squared Error Clustering (ALSEC) are proposed. Extensive tests have shown that the proposed algorithm is robust in which poor SNR medical images can be de-noised effectively.
引用
收藏
页码：980 / 983
页数：4
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