作者
Chih-Lung Lin, Chih-Wei Kuo, Chih-Chin Lai, Ming-Dar Tsai, Yuan-Chang Chang, Hsu-Yung Cheng
发表日期
2011/1/31
期刊
Infrared Physics & Technology
卷号
54
期号
1
页码范围
1-9
出版商
Pergamon
简介
The goal of this paper is to develop a fast noise reduction (FNR) approach to infrared (IR) images. The IR images usually have noise, edges, text information and small objects of interest. The well known standard median filter (MF) is not suitable to process these IR images. The main characteristics of the proposed approach are that no prior knowledge about the IR image noise is necessary and no parameters must be preset. It is developed based on IR imaging mechanism to detect the noisy pixels and on modified median-based filter to remove the noisy pixels in IR images. The FSN approach has the advantage of low computation load. In addition, it can retain reasonably good edges, details and texture information even if the size of the filter window increases. The goal of the proposed approach is feasible for an effective process for reducing noise of IR images, regardless of the filter windows’ and objects’ sizes. It …
引用总数
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学术搜索中的文章
CL Lin, CW Kuo, CC Lai, MD Tsai, YC Chang… - Infrared Physics & Technology, 2011