热红外与可见光图像融合算法研究
TP391.4; 融合热红外与可见光图像能够达到信息的互补,弥补单一模态在某些条件下的不足,因此具有较高的研究和应用价值.采用了一种基于稀疏表示模型的热红外与可见光图像融合算法.首先,根据一定量图像样本学习出较为完备的字典.其次,对于给定的两模态图像对,通过稀疏表示模型在学习出的字典上分别对其进行稀疏表示.同时,为了提高鲁棒性,使用了拉普拉斯约束对表示系数进行正则化.然后,根据融合算法对两模态图像进行有效融合.最后,在公共的图像以及收集的图像上进行了实验,实验结果表明,该算法能够有效地融合两模态图像的信息....
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| Published in | 计算机科学与探索 Vol. 10; no. 3; pp. 407 - 413 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | Chinese |
| Published |
安徽大学计算机科学与技术学院,合肥,230601%安徽大学计算机科学与技术学院,合肥230601
2016
安徽省工业图像处理与分析重点实验室,合肥230039 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1673-9418 |
| DOI | 10.3778/j.issn.1673-9418.1506032 |
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| Abstract | TP391.4; 融合热红外与可见光图像能够达到信息的互补,弥补单一模态在某些条件下的不足,因此具有较高的研究和应用价值.采用了一种基于稀疏表示模型的热红外与可见光图像融合算法.首先,根据一定量图像样本学习出较为完备的字典.其次,对于给定的两模态图像对,通过稀疏表示模型在学习出的字典上分别对其进行稀疏表示.同时,为了提高鲁棒性,使用了拉普拉斯约束对表示系数进行正则化.然后,根据融合算法对两模态图像进行有效融合.最后,在公共的图像以及收集的图像上进行了实验,实验结果表明,该算法能够有效地融合两模态图像的信息. |
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| AbstractList | TP391.4; 融合热红外与可见光图像能够达到信息的互补,弥补单一模态在某些条件下的不足,因此具有较高的研究和应用价值.采用了一种基于稀疏表示模型的热红外与可见光图像融合算法.首先,根据一定量图像样本学习出较为完备的字典.其次,对于给定的两模态图像对,通过稀疏表示模型在学习出的字典上分别对其进行稀疏表示.同时,为了提高鲁棒性,使用了拉普拉斯约束对表示系数进行正则化.然后,根据融合算法对两模态图像进行有效融合.最后,在公共的图像以及收集的图像上进行了实验,实验结果表明,该算法能够有效地融合两模态图像的信息. |
| Author | 汤进 罗斌 李海超 李成龙 |
| AuthorAffiliation | 安徽大学计算机科学与技术学院,合肥,230601%安徽大学计算机科学与技术学院,合肥230601;安徽省工业图像处理与分析重点实验室,合肥230039 |
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| Author_FL | LI Haichao LUO Bin LI Chenglong TANG Jin |
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| Keywords | multi-modal fusion Laplacian regularization 拉普拉斯正则化 多模态融合 稀疏表示 sparse representation |
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| Publisher | 安徽大学计算机科学与技术学院,合肥,230601%安徽大学计算机科学与技术学院,合肥230601 安徽省工业图像处理与分析重点实验室,合肥230039 |
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| Title | 热红外与可见光图像融合算法研究 |
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