| 图像超分辨率重建算法综述 |
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| 引用本文： | 江静,张雪松.图像超分辨率重建算法综述[J].红外技术,2012,34(1):24-30. |
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| 作者姓名： | 江静 张雪松 |
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| 作者单位： | 江静:华北科技学院 机电工程系，北京 101601中国矿业大学(北京)煤炭资源与安全开采国家重点实验室，北京 100083
张雪松:东北电子技术研究所 光电信息安全控制试验室，河北 三河 065201
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| 基金项目： | 国家自然科学基金资助项目（51074169）、中央高校基本科研业务费资助（JD1201B）。 |
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| 摘 要： | 介绍了超分辨率重建的基本原理与数学模型,对现有的图像超分辨率重建算法进行了总结。将当前的超分辨率算法分为基于重建约束的方法和基于学习的方法两大类,分别阐述了超分辨率重建技术的经典方法,最后指出了低质量图像超分辨率技术进一步的研究方向。
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| 关 键 词： | 超分辨率重建 规整化 流形学习 |
| 收稿时间： | 2011/11/1 |
A Review of Super-resolution Reconstruction Algorithms |
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| JIANG Jing,ZHANG Xue-song.A Review of Super-resolution Reconstruction Algorithms[J].Infrared Technology,2012,34(1):24-30. |
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| Authors: | JIANG Jing ZHANG Xue-song |
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| Affiliation: | 1.Department of Mechanics and Electricity Engineering,North China Institute of Science and Technology,Beijing 101601,China; 2.State Key Laboratory of Coal Resources and Safe Mining,China University of Mining and Technology,Beijing 100083,China; 3.Electro-optical Information Security Control Laboratory,Northeast Institute of Electronics Technology,Sanhe Hebei 065201,China) |
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| Abstract: | The basic principles and mathematical models of super-resolution reconstruction are described; the existing super-resolution reconstruction algorithms are summarized.The current super-resolution methods are divided into two categories, that is, the reconstructed constraints methods and learning approach.The methods of classic super-resolution reconstruction are respectively described.Finally, the further research directions of super-resolution reconstruction technique for low-quality images are proposed. |
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| Keywords: | Super-Resolution Reconstruction Regularization Manifold Learning Algorithm |
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