电测与仪表2016，Vol.53Issue(18)：10-13,40,5.
基于压缩感知的电力设备视频图像去噪方法研究
The research of power equipment image de-noising algorithm based on compressed sensing
于华楠 1武云瑞 1胡绪超2
作者信息
- 1. 东北电力大学信息工程学院，吉林吉林132012
- 2. 东方电子股份有限公司，山东烟台264000
- 折叠
摘要
Abstract
We address the image de-nosing problem in the video surveillance system in smart grid , the approach is based on compressed sensing and sparse representation theory over over -complete dictionary .We train dictionary by noisy image , and use K-SVD algorithm to update dictionary and OMP to compute sparse representation coefficients . An improved orthogonal matching pursuit algorithm based on atomic matching criterion of Dice coefficient is used to re -construct images.Finally, we can get the de-noised image.The Matlab simulation experiments show that this method is an effective de-noising algorithm , and the de-noising result for Gaussian white noise is better than the wavelet func-tions.Using the video images which is corrupted to train the dictionary , while the de-noising task could be completed efficiently even there is no high-quality original image .关键词
压缩感知/稀疏表示/去噪/K-SVDKey words
compressed sensing/sparse representation/de-noising/K-SVD分类
信息技术与安全科学引用本文复制引用
于华楠,武云瑞,胡绪超..基于压缩感知的电力设备视频图像去噪方法研究[J].电测与仪表,2016,53(18):10-13,40,5.
