Medical Image Restoration using Multiple-Point Geostatistics

被引：0
|
作者：
Pham, Tuan D. [1 ]
机构：
[1] Univ New S Wales, Sch Engn & Informat Technol, Canberra, ACT 2600, Australia
来源：
2010 3RD INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS (BMEI 2010), VOLS 1-7 | 2010年
关键词：
FILTER; NOISE; MODEL;
D O I：
10.1109/BMEI.2010.5639528
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
Noise inherently exists in medical and biological images as any imaging device, by a finite exposure time, is subject to stochastic noise from the random arrival events of photons. The purpose of image restoration is to bring back as much as possible the original image from its degraded state. This paper presents a spatial multiple-point statistical approach for restoration of medical image degradation.
引用
收藏
页码：371 / 374
页数：4
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