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  5. Comparison of Image Restoration using Median, Wiener, and Gaussian Filtering Techniques based on Electrical Tree
 
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Comparison of Image Restoration using Median, Wiener, and Gaussian Filtering Techniques based on Electrical Tree

Journal
IEACon 2021 - 2021 IEEE Industrial Electronics and Applications Conference
Date Issued
2021-01-01
Author(s)
Abdulah C.S.K.
Mohamad Nur Khairul Hafizi Rohani
Universiti Malaysia Perlis
Baharuddin Ismail
Universiti Malaysia Perlis
Isa M.A.M.
Afifah Shuhada Rosmi
Universiti Malaysia Perlis
Wan Azani Wan Mustafa
Universiti Malaysia Perlis
DOI
10.1109/IEACon51066.2021.9654752
Abstract
Electrical treeing lead to a major cause of a breakdown in solid insulation. Thus reduced solid insulation performance by degrading the insulation. Hence, it is important to study the electrical treeing and learn the root cause of the treeing formation. In this paper, the performances of median, wiener, and gaussian filters in restoring noisy images are studied based on electrical tree images. The electrical tree colour images is being transform into grayscale images, noisy images using impulse noise (salt and pepper), and finally motion blur are applied. Even though, there are several number of filters available, this paper focus on median, wiener, gaussian, and combination of the filters. In the end, comparison between these filters is made to study the efficiency using PSNR, SNR, and MSE in graph form.
Funding(s)
Ministry of Higher Education, Malaysia
Subjects
  • Blur | Digital Image ...

File(s)
Research repository notification.pdf (4.4 MB)
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