Visible polarization image fusion with non-subsampled Shearlets
文献类型：会议论文
| 作者 | Liu, Zheng1,2; Zeng, Hengliang1,2; Wang, Huachuang1; Xu, Bo1,2; Hu, Jinlong1,2 |
| 出版日期 | 2015 |
| 会议名称 | Proceedings of SPIE - The International Society for Optical Engineering |
| 会议日期 | 2015 |
| 卷号 | 9795 |
| 页码 | 97951S |
| 中文摘要 | For the disadvantage of traditional target detection methods with low detection rate and difficulties in distinguishing the small temperature difference and camouflage targets,this paper presents a kind of visible polarization image fusion method using non-subsampled Shearlets transform. Firstly, we obtain four polarization status images by multi-detector camera, where the direction of polarization angle is 0° ,45°,90°,135° separately. The Stokes vectors are calculated by polarization status images. Then, the extracted target polarization feature images and light intensity image are decomposed into several sub frequency bands by NSST with fine multi-scale decomposition characteristics. Meanwhile, the fusion coefficients are determined based on high-frequency energy window and low-frequency mean in the frequency domain. At last, the final fusion image is obtained after NSST inverse transform and target enhancement. Experimental results illustrate that the proposed approach could obtain better fusion images with rich details, high contrast, highlighting the polarization characteristic of the target to improve the ability of scene perception and target detection. © 2015 SPIE. |
| 英文摘要 | For the disadvantage of traditional target detection methods with low detection rate and difficulties in distinguishing the small temperature difference and camouflage targets,this paper presents a kind of visible polarization image fusion method using non-subsampled Shearlets transform. Firstly, we obtain four polarization status images by multi-detector camera, where the direction of polarization angle is 0° ,45°,90°,135° separately. The Stokes vectors are calculated by polarization status images. Then, the extracted target polarization feature images and light intensity image are decomposed into several sub frequency bands by NSST with fine multi-scale decomposition characteristics. Meanwhile, the fusion coefficients are determined based on high-frequency energy window and low-frequency mean in the frequency domain. At last, the final fusion image is obtained after NSST inverse transform and target enhancement. Experimental results illustrate that the proposed approach could obtain better fusion images with rich details, high contrast, highlighting the polarization characteristic of the target to improve the ability of scene perception and target detection. © 2015 SPIE. |
| 收录类别 | SCI ; EI |
| 学科主题 | Frequency bands - Frequency domain analysis - Inverse transforms - Polarization - Surface topography |
| 语种 | 英语 |
| ISSN号 | 0277-786X |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/7704]  |
| 专题 | 光电技术研究所_光电探测与信号处理研究室（五室） |
| 作者单位 | 1.Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu, China 2.University of Chinese Academy of Sciences, Beijing, China |
| 推荐引用方式 GB/T 7714 | Liu, Zheng,Zeng, Hengliang,Wang, Huachuang,et al. Visible polarization image fusion with non-subsampled Shearlets[C]. 见:Proceedings of SPIE - The International Society for Optical Engineering. 2015. |
入库方式： OAI收割
来源：光电技术研究所
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