Study of wavelet denoising in images of vacuum switching arc

Author

Dong Huajun ; Wang Hongyan ; Shen Jijun

Author_Institution

Sch. of Mech. Eng., Dalian Jiaotong Univ., Dalian, China

fYear

2012

fDate

24-26 Aug. 2012

Firstpage

22

Lastpage

24

Abstract

Using wavelet to filtering noises on image is an important application of wavelet analysis in image processing. In this paper a de-noising method based on wavelet transform is introduced and applied in image of the vacuum switch arc which is the research object that is polluted by white noise. The result shows that the signal to noise ratio is improved, the quality and resolution of the vacuum arc image is enhanced by the application of wavelet de-noising when proper wavelet basis function and threshold is selected.

Keywords

arcs (electric); filtering theory; image denoising; image resolution; power engineering computing; vacuum switches; wavelet transforms; de-noising method; filtering noises; images denoising; signal to noise ratio; vacuum arc image quality; vacuum arc image resolution; vacuum switching arc; wavelet basis function; wavelet denoising; wavelet noises; noise repression; threshold filtering MATLAB; vacuum switching arc; wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Processing (CSIP), 2012 International Conference on

Conference_Location

Xi´an, Shaanxi

Print_ISBN

978-1-4673-1410-7

Type

conf

DOI

10.1109/CSIP.2012.6308785

Filename

6308785