Coiflet Based Deblurring of Insulator Images for Remote Monitoring

M. Saini, Jasbir Singh Saini, Rahul Kumar
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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.
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基于Coiflet的远程监测绝缘子图像去模糊
现有电力系统网络中电气设备的远程监控已成为保证整个电网可靠性和效率的必要手段。本文提出了一种鲁棒小波域图像处理技术,用于输电网络中悬吊式绝缘子航空图像的去模糊处理。该方法对航拍模糊图像的小波变换系数进行修正。得到的去模糊图像,虽然在边缘附近有小的伪影,但不会造成任何重要信息的损失。本文的主要贡献是在Xilinx ZedBoard上验证了所提出的算法,以测试所提出的技术在实时应用中的鲁棒性。
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