Citation: | WEN Haibin, BI Duyan, MA Shiping, HE Linyuan. Halo-free and Detail Enhancement Based on Multi-scale Retinex for Infrared Image[J]. Infrared Technology , 2016, 38(2): 149-156. |
[1] | JIANG Jiewei, LIU Shanghui, JIN Ku, LIU Haiyang, WEI Xumeng, GONG Jiamin. Infrared and Visible-Light Image Fusion Based on FCM and Guided Filtering[J]. Infrared Technology , 2023, 45(3): 249-256. |
[2] | OUYANG Huiming, XIA Likun, LI Zemin, HE Yan, ZHU Xiaojie, ZHU Youpan, ZENG Bangze, ZHOU Yongkang. An Infrared Image Detail Enhancement Algorithm Based on Parameter Adaptive Guided Filtering[J]. Infrared Technology , 2022, 44(12): 1324-1331. |
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[5] | CHENG Tiedong, LU Xiaoliang, YI Qiwen, TAO Zhengliang, ZHANG Zhizhao. Research on Infrared Image Enhancement Method Combined with Single-scale Retinex and Guided Image Filter[J]. Infrared Technology , 2021, 43(11): 1081-1088. |
[6] | HUANG Zhihong, WU Sheng, XIAO Jian, ZHANG Keren, HUANG Wei. Thermal Fault Diagnosis of Power Equipments Based on Guided Filter[J]. Infrared Technology , 2021, 43(9): 910-915. |
[7] | ZHANG Chenghong, LI Fanming, WU Yingyue. Infrared Image Enhancement Based on Adaptive Guided Filter and Sub-band Decomposed Multi-scale Retinex[J]. Infrared Technology , 2019, 41(4): 323-328. |
[8] | GE Peng, YANG Bo, HAN Qinglin, LIU Peng, CHEN Shugang, HU Douming, ZHANG Qiaoyan. Infrared Image Detail Enhancement Algorithm Based on Hierarchical Processing by Guided Image Filter[J]. Infrared Technology , 2018, 40(12): 1161-1169. |
[9] | GAN Ling, ZHANG Qianwen. Image Fusion Method Combining Non-subsampled Contourlet Transform and Guide Filtering[J]. Infrared Technology , 2018, 40(5): 444-448,454. |
[10] | GE Peng, YANG Bo, MAO Wenbiao, CHEN Shaolin, ZHANG Qiaoyan, HAN Qinglin. High Dynamic Range Infrared Image Enhancement Algorithm Based on Guided Image Filter[J]. Infrared Technology , 2017, 39(12): 1092-1097. |
1. |
李海军,孔繁程,魏嘉彧,马羚,沈祉怡. 基于直觉模糊集和CLAHE红外舰船图像增强算法. 兵器装备工程学报. 2022(11): 88-94 .
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汪利琴. 多曝光图像移动边界伪影自主校正方法仿真. 计算机仿真. 2019(06): 418-421+437 .
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李继泉,时勤功,李井文. 一种宽动态范围下的红外图像局部细节增强算法. 激光与红外. 2019(08): 1026-1032 .
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焦阳,李鑫. 雾霾天气下多尺度劣质图像质量增强方法研究. 科技通报. 2017(11): 133-136 .
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王坤. 保持细节的Retinex红外图像增强算法. 电子技术与软件工程. 2016(18): 96-97 .
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