中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Infrared stripe noise correction algorithm based on multi-scale analysis and one-dimensional vector convolution

文献类型:会议论文

作者Jiang P(姜平)2; Wang ED(王恩德)2; Feng DQ(冯达其)1
出版日期2019
会议日期December 20-23, 2019
会议地点Shanghai, China
关键词Non-uniformity correction focal-plane array infrared image Multi-scale destriping
页码206-211
英文摘要Aiming at the problem of stripe noise in uncooled infrared imaging system, a multi-scale analysis and one-dimensional vector horizontal convolution stripe noise non-uniformity correction algorithm is proposed. The algorithm uses the wavelet transform to extract the vertical component of the original infrared image, and uses the Gaussian kernel function to generate the one-dimensional vector to smooth the vertical component, and the wavelet reconstruction outputs the corrected image. The algorithm can accurately remove infrared noise without causing more troublesome "ghosting" problems. Multiple sets of different infrared image data were selected for simulation experiments, and compared with the current advanced infrared stripe non-uniform correction algorithm and qualitative and quantitative analysis, which proves that the algorithm proposed in this paper has a good visual effect, and the image quality evaluation parameters can also get good results.
源文献作者Shanghai Jiao Tong University ; Tianjin University ; Xidian University
产权排序1
会议录Proceedings of the 2019 3rd International Conference on Video and Image Processing, ICVIP 2019
会议录出版者ACM
会议录出版地New York
语种英语
ISBN号978-1-450-37682-2
源URL[http://ir.sia.cn/handle/173321/26422]  
专题沈阳自动化研究所_光电信息技术研究室
通讯作者Jiang P(姜平)
作者单位1.Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian City, Liaoning 116023, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning 110016, China
推荐引用方式
GB/T 7714
Jiang P,Wang ED,Feng DQ. Infrared stripe noise correction algorithm based on multi-scale analysis and one-dimensional vector convolution[C]. 见:. Shanghai, China. December 20-23, 2019.

入库方式: OAI收割

来源:沈阳自动化研究所

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