| 基于遗传算法的盲超分辨率图像的重建 |
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| 引用本文： | 吴伟巍,曾庆山,刚轶金.基于遗传算法的盲超分辨率图像的重建[J].计算机工程与应用,2009,45(35):199-201. |
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| 作者姓名： | 吴伟巍 曾庆山 刚轶金 |
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| 作者单位： | 郑州大学电气工程学院,郑州,450001 |
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| 摘 要： | 针对盲超分辨率图像复原问题,提出了一种基于遗传算法的盲超分辨率图像重建方法。这种方法建立了一个由高分辨率图像和模糊项相关联的正则化函数,并利用遗传算法的全局寻优能力使得这个正则化函数最小化,从而由一组退化的低分辨率图像求得高分辨率图像,同时评估出导致模糊原因。仿真结果表明算法的可行性。
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| 关 键 词： | 盲超分辨率 遗传算法 正则化函数 模糊 |
| 收稿时间： | 2008-7-9 |
| 修稿时间： | 2008-9-26
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Blind super-resolution image reconstruct based on genetic algorithm |
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| WU Wei-wei,ZENG Qing-shan,GANG Yi-jin.Blind super-resolution image reconstruct based on genetic algorithm[J].Computer Engineering and Applications,2009,45(35):199-201. |
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| Authors: | WU Wei-wei ZENG Qing-shan GANG Yi-jin |
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| Affiliation: | School of Electrical Engineering in Zhengzhou University，Zhengzhou 450001，China |
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| Abstract: | In allusion to blind super-resolution images for recovery，an approach of blind super-resolution image reconstruct based on genetic algorithm is proposed.This approach builds a regularization energy function，where regularization is carried out in both the image and blur domains，minimizes the regularization by using global optimizing capacity of genetic algorithm，then gets the high resolution image from multiple frames degraded low resolution images，and also estimates the blurs.The results of simulation show that the approach is feasible. |
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| Keywords: | blind super-resolution genetic algorithm regularized energy function blur |
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