Comparative study on infrared image de-noising based on Matlab

Chao Qi; Suixing Cui; Zhiyu Zhou

doi:10.1007/978-3-642-37105-9_8

Comparative study on infrared image de-noising based on Matlab

Chao Qi
, Suixing Cui
, Zhiyu Zhou

School of Electrical Engineering and Automation, Harbin Institute of Technology
Harbin University of Science and Technology
North China Electric Power University

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

As the significant link of the image preprocessing, image denoising 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 different 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 comparatively, a suitable and effective de noising algorithm for the infrared image of electric power transmission line fault is found.

Original language	English
Pages (from-to)	66-75
Number of pages	10
Journal	Communications in Computer and Information Science
Volume	355
DOIs	https://doi.org/10.1007/978-3-642-37105-9_8
State	Published - Sep 2013
Externally published	Yes

Keywords

Algorithm
Infrared Image
Mage Processing
Matlab

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10.1007/978-3-642-37105-9_8

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abstract = "As the significant link of the image preprocessing, image denoising 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 different 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 comparatively, a suitable and effective de noising algorithm for the infrared image of electric power transmission line fault is found.",

keywords = "Algorithm, Infrared Image, Mage Processing, Matlab",

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N2 - As the significant link of the image preprocessing, image denoising 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 different 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 comparatively, a suitable and effective de noising algorithm for the infrared image of electric power transmission line fault is found.

AB - As the significant link of the image preprocessing, image denoising 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 different 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 comparatively, a suitable and effective de noising algorithm for the infrared image of electric power transmission line fault is found.

KW - Algorithm

KW - Infrared Image

KW - Mage Processing

KW - Matlab

UR - https://www.scopus.com/pages/publications/84883798721

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SP - 66

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JO - Communications in Computer and Information Science

JF - Communications in Computer and Information Science

ER -

Comparative study on infrared image de-noising based on Matlab

Abstract

Keywords

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