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Comparative Study on Infrared Image
De-noising
Based on Matlab
Chao Qi 1 , Suixing Cui 2 , and Zhiyu Zhou 3
1 School of Electrical Engineering and Automation, Harbin Institute of Technology,
Harbin, HLJ 150001, P.R. China
2 Harbin University of Science and Technology, Harbin 150080 HLJ, China
3 North China Electric Power University, 102206 Beijing, China
qichao@hit.edu.cn, { 81299049,2472996658 } @qq.com
Abstract. As the significant link of the image preprocessing, image de-
noising has an effect on subsequent research work that cant be ignored.
Infrared image de-noising based on the Matlab digital image processing
environment is studied. The infrared image with different noises by dif-
ferent algorithms, such as average filtering, median filtering, multi-image
average de- noising algorithm, low pass filtering and wavelet transform
de-noising algorithm, are analyzed and processed. At last, via analyzing
these algorithms for different noises and their owe characteristics com-
paratively, a suitable and effective de noising algorithm for the infrared
image of electric power transmission line fault is found.
Keywords: Infrared Image, algorithm, mage Processing, Matlab.
1 Introduction
In recent years, since the progress of science and technology, infrared image
instruments had been widely used in modern scientific research, military tech-
nology, electric power, medicine, meteorological, astronomy and other fields. The
infrared image also called thermal imagery makes the object imaging depending
on the temperature between different parts[1]. Its because the thermal imagery
technology has the good features of concealment, wide detection range, accu-
rately positioning, strong penetrating, and high recognition camouflage and so
on. It enjoys the staff of different research fields. However, because of the in-
fluence of imaging equipment level, it makes the infrared images signal-to-noise
ratio poor. In order to make the follow-up research more precise and effective,
removing noises in infrared image becomes a diculty in the fault diagnosis by
the infrared technology[2].
Modern infrared technology began in around 1940, PbS infrared detector was
developed, produced and put into application that was the sign. In 1959, the
Germans infrared technology was adopted and developed by American and they
announced the index of the infrared technology, which makes infrared research
 
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