| 一种改进的IBP超分辨率重构算法 |
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| 引用本文： | 吴艳. 一种改进的IBP超分辨率重构算法[J]. 红外, 2009, 30(12): 11-15. DOI: 10.3969/j.issn.1672-8785.2009.12.003 |
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| 作者姓名： | 吴艳 |
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| 作者单位： | 中国科学院上海技术物理研究所,上海,200083 |
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| 基金项目： | 中国科学院知识创新项目 |
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| 摘 要： | 低分辨率图像的信噪比(SNR)和图像之间的配准误差对超分辨率重构效果的影响是该技术应用在遥感领域的瓶颈.本文针对图像信噪比对超分辨率重构的影响,对IBP算法进行了改进.实验表明,改进的IBP算法收敛速度快,相对于传统的POCS与IBP算法,它对低信噪比低分辨率图像的重构具有更好的效果.
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| 关 键 词： | 超分辨率重构 图像信噪比 空间分辨率 改进的IBP算法 |
| 收稿时间： | 2009-02-22 |
One Improved Super-reconstruction Algorithm Based on IBP Theory |
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| WU Yan. One Improved Super-reconstruction Algorithm Based on IBP Theory[J]. Infrared, 2009, 30(12): 11-15. DOI: 10.3969/j.issn.1672-8785.2009.12.003 |
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| Authors: | WU Yan |
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| Abstract: | The infl时nce of Signal-to-noise Ratio (SNR) of low-resolution images and registration error among them on the super-reconstruction of images is the bottle-neck in the field of remote sensing. According to the influence of SNR on the super-reconstruction of images, the IBM algorithm is improved. Experimental results show that the improved algorithm has a faster convergence speed and a better effectiveness for the low SNR and low resolution images compared with the traditional POCS and IBP algorithms. |
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| Keywords: | super-reconstruction SNR spatial resolution improved IBP |
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