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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