| 基于Gibbs模型的提高图像分辨率方法 |
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| 引用本文： | 彭旭俊,张桂林. 基于Gibbs模型的提高图像分辨率方法[J]. 红外与激光工程, 2003, 32(6): 613-616 |
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| 作者姓名： | 彭旭俊 张桂林 |
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| 作者单位： | 华中科技大学,图像识别与人工智能研究所图像信息处理与智能控制教育部重点实验室,湖北,武汉,430074 |
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| 摘 要： | 在提高图像分辨率过程中,选择合适的成像模型是获得高分辨率图像的一个关键因素。提出一种基于最大后验概率、采用Gibbs成像模型,并利用多帧序列图像重构高分辨率图像的方法,充分利用序列图像之间的累加信息,从而快速地获得较其他方法更优的高分辨率图像。
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| 关 键 词： | 高分辨率 运动向量 序列图像 最大后验概率 |
| 文章编号： | 1007-2276(2003)06-0613-04 |
| 收稿时间： | 2003-02-16 |
| 修稿时间： | 2003-02-16 |
Restoration of high resolution image based on Gibbs model |
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| PENG Xu-jun,ZHANG Gui-lin. Restoration of high resolution image based on Gibbs model[J]. Infrared and Laser Engineering, 2003, 32(6): 613-616 |
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| Authors: | PENG Xu-jun ZHANG Gui-lin |
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| Abstract: | During the image restoration, choosing a proper model that describes the image is the key of restoration. A MAP framework based on Gibbs to extract a single super resolution image from image sequences is proposed. Additional novel observation data can be obtained and the feasible solution space is constrained with apriori assumptions on the form of the solution. Experimental results are provided to illustrate the performance of the algorithm that is better and faster than others. |
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| Keywords: | High resolution Motion vector Image sequences Maximum a Posteriori(MAP) |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
