| 基于自适应引导滤波的子带分解多尺度Retinex红外图像增强 |
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| 引用本文： | 张承泓, 李范鸣, 吴滢跃. 基于自适应引导滤波的子带分解多尺度Retinex红外图像增强[J]. 红外技术, 2019, 41(4): 323-328. |
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| 作者姓名： | 张承泓 李范鸣 吴滢跃 |
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| 作者单位： | 中国科学院红外探测与成像技术重点实验室,上海 200083;中国科学院上海技术物理研究所,上海 200083;中国科学院红外探测与成像技术重点实验室,上海 200083;中国科学院上海技术物理研究所,上海 200083;中国科学院红外探测与成像技术重点实验室,上海 200083;中国科学院上海技术物理研究所,上海 200083 |
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| 摘 要： | 利用引导滤波的边缘保持特性及梯度保持特性,提出一种基于自适应引导滤波的子带分解多尺度Retinex红外图像增强算法.首先利用自适应引导滤波对光照分量进行精确估计,生成光谱不重叠的Retinex子带,然后对各个子带进行自适应增强,最后将各个增强后的子带加权融合.实验证明,该算法可有效消除光晕现象及凸显红外图像细节.
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| 关 键 词： | 红外图像增强 自适应引导滤波 子带分解多尺度 Retinex |
Infrared Image Enhancement Based on Adaptive Guided Filter and Sub-band Decomposed Multi-scale Retinex |
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| 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. |
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| Authors: | ZHANG Chenghong LI Fanming WU Yingyue |
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| Affiliation: | (CAS Key Laboratory of Infrared System Detection and Imaging Technology,Shanghai 200083,China;Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China) |
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| Abstract: | Utilizing the edge-preserving and gradient-preserving characteristics of guided filters,an infrared image enhancement algorithm based on adaptive guided filtering and a sub-band decomposed Retinex algorithm is developed.First,the illumination component is estimated accurately by adaptive guided filtering,creating nonoverlapping sub-band Retinex algorithms.Then,all sub-band Retinex algorithms are enhanced adaptively.Finally,all enhanced Retinex algorithms are weighted fused.The experimental results indicate that the algorithm can eliminate halo and highlight details effectively. |
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| Keywords: | infrared image enhancement adaptive guided filter sub-band decomposed Retinex |
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