| Citation: |
ZHOU Chenxu, HUANG Fuzhen. Infrared and Visible Image Fusion Based on BLMD and NSDFB[J]. Infrared Technology , 2019, 41(2): 176-182.
|
| [1] | GONG Jiamin, ZHANG Lei, LIU Shanghui, JIANG Jiewei, JIN Ku. Image Fusion Based on Simplified Two-Dimensional Kaniadakis Entropy Segmentation Algorithm and Fast Guided Filtering[J]. Infrared Technology , 2025, 47(2): 201-210. |
| [2] | CHEN Chaoyang, JIANG Yuanyuan. Infrared and Visible Image Fusion Based on Deep Image Decomposition[J]. Infrared Technology , 2024, 46(12): 1362-1370. |
| [3] | YANG Yanchun, LEI Huiyun, YANG Wanxuan. Infrared and Visible Image Fusion Based on Fast Joint Bilateral Filtering and Improved PCNN[J]. Infrared Technology , 2024, 46(8): 892-901. |
| [4] | ZHANG Hui, HAN Xinning, HAN Huili, CHANG Lihong. Two-scale Image Fusion of Visible and Infrared Images Based on Guided Filtering Decomposition[J]. Infrared Technology , 2023, 45(11): 1216-1222. |
| [5] | LONG Zhiliang, DENG Yueming, WANG Runmin, DONG Jun. Infrared and Visible Image Fusion Based on Saliency Detection and Latent Low-Rank Representation[J]. Infrared Technology , 2023, 45(7): 705-713. |
| [6] | ZHANG Hui, HAN Xinning, HAN Huili. Infrared and Visible Image Fusion Based on a Rolling Guidance Filter[J]. Infrared Technology , 2022, 44(6): 598-603. |
| [7] | YANG Jiuzhang, LIU Weijian, CHENG Yang. Asymmetric Infrared and Visible Image Fusion Based on Contrast Pyramid and Bilateral Filtering[J]. Infrared Technology , 2021, 43(9): 840-844. |
| [8] | LIU Jia, LI Dengfeng. Infrared and Visible Light Image Fusion Based on Mahalanobis Distance and Guided Filter Weighting[J]. Infrared Technology , 2021, 43(2): 162-169. |
| [9] | CHEN Feng, LI Min, MA Le, QIU Xiaohua. Infrared and Visible Image Fusion Algorithm Based on the Rolling Guidance Filter[J]. Infrared Technology , 2020, 42(1): 54-61. |
| [10] | JIANG Guoqing, WANG Shixu, WANG Laijun, HAN Qiang, FAN Xiaoqing, CAI Yinping. Image Fusion with Joint Sparse and Guided Image Filtering for Infrared and Visible Images of Insulator[J]. Infrared Technology , 2017, 39(6): 523-528. |
| 1. |
张红河. 红外图像边缘检测中自适应阈值法应用研究. 中国新技术新产品. 2024(15): 9-11 .
| |
| 2. |
廖宁，陈怡然. 红外和可见光图像高效融合的人工智能技术研究. 激光杂志. 2022(03): 109-113 .
| |
| 3. |
姜迈，沙贵君，李宁. 基于PUCS与DTCWT的红外与弱可见光图像融合. 红外技术. 2022(07): 716-725 .
本站查看
| |
| 4. |
赵小明，张文莉，张伟东. 改进FAST和FREAK的图像匹配算法. 甘肃科学学报. 2022(04): 26-33 .
| |
| 5. |
王慧华，杨小刚. 自适应阈值法的红外图像边缘检测研究. 激光杂志. 2022(11): 124-128 .
| |
| 6. |
唐中剑，毛春. 基于显著导向的可见光与红外图像融合算法. 太赫兹科学与电子信息学报. 2021(01): 125-131 .
| |
| 7. |
胡奡. 基于频率分解的平面图像色彩增强方法. 宁夏师范学院学报. 2021(10): 98-106 .
| |
| 8. |
朱卫东，王虎，邱振戈，栾奎峰，韩震. 自适应多尺度几何分析的全色和多光谱图像融合方法研究. 红外技术. 2019(09): 852-856 .
本站查看
|
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: