原文传递
A novel infrared image enhancement based on correlation measurement of visible image for urban traffic surveillance systems
| 题名： | A novel infrared image enhancement based on correlation measurement of visible image for urban traffic surveillance systems |
| 正文语种： | 英文 |
| 作者： | Jingyue Chen;Xiaomin Yang;Lu Lu;Qilei Li;Zuoyong Li;Wei Wu |
| 作者单位： | Sichuan University;Minjiang University |
| 关键词： | Urban traffic; IR image enhancement; Retinex theory; image correlation |
| 摘要： | Infrared imaging sensors are widely employed in urban traffic systems since they are not affected by lighting conditions. However, due to the limitation of hardware and imaging environment, it is difficult to obtain infrared (IR) images at the desired quality. IR images always lack detailed information, which leads to tinsatisfying IR image enhancement results with the conventional method. Compared with the IR images, the visible (VIS) images con-tain detailed in formation, which could help to enhance the quality of the corresp onding IR images. In this article, we propose an effective method to enhance IR images by applying the multi-sensors image. First, we adopt the edge-preserving filter to decompose the IR and VIS images into illumi nation and reflectance components according to Retinex theory. Second, each region in the IR and VIS image is classified into the related region and non-related region according to the correlation betwee n IR and VIS images. Fin ally, an adaptive fuzzy plateau HE (AFPHE) is utilized to enhance the illumination component, and a strategy is employed to enhance the detail of the IR reflectance component with the help of VIS images. Experimental results demonstrate that the proposed method can effectively improve the contrast and enhance the detail of the IR images. |
| 出版日期： | 2020 |
| 出版年： | 2020 |
| 期刊名称： | Journal of Intelligent Transportation Systems Technology Planning and Operations |
| 卷： | Vol24 |
| 期： | No01-06 |
| 页码： | 290-303 |
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