{"title":"Coiflet Based Deblurring of Insulator Images for Remote Monitoring","authors":"M. Saini, Jasbir Singh Saini, Rahul Kumar","doi":"10.1109/PIICON49524.2020.9113053","DOIUrl":null,"url":null,"abstract":"Remote monitoring of electrical equipment in the existing power system network has become indispensable for ensuring the reliability and efficiency of entire power network. This paper presents a robust wavelet domain based image processing technique for deblurring aerial images of suspension type insulators to be employed in the power transmission network. The proposed technique modifies the wavelet transform coefficients of blurred aerial images. The resultant deblurred images, though, have small artifacts near edges but they do not cause any loss of significant information. The key contribution of this paper is validation of proposed algorithm on Xilinx ZedBoard to test the robustness of proposed technique for real-time applications.","PeriodicalId":422853,"journal":{"name":"2020 IEEE 9th Power India International Conference (PIICON)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 9th Power India International Conference (PIICON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIICON49524.2020.9113053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Remote monitoring of electrical equipment in the existing power system network has become indispensable for ensuring the reliability and efficiency of entire power network. This paper presents a robust wavelet domain based image processing technique for deblurring aerial images of suspension type insulators to be employed in the power transmission network. The proposed technique modifies the wavelet transform coefficients of blurred aerial images. The resultant deblurred images, though, have small artifacts near edges but they do not cause any loss of significant information. The key contribution of this paper is validation of proposed algorithm on Xilinx ZedBoard to test the robustness of proposed technique for real-time applications.