Fast blind restoration of blurred images based on local patches

Fast blind restoration of blurred images based on local patches
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DOI:
10.1109/elinfocom.2016.7562985
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发表时间:
2016
期刊:
2016 International Conference on Electronics, Information, and Communications (ICEIC)
影响因子:
--
通讯作者:
T. Goto;Hiroki Senshiki;S. Hirano;M. Sakurai
T. Goto;Hiroki Senshiki;S. Hirano;M. Sakurai
中科院分区:
其他
文献类型:
--
作者:
T. Goto;Hiroki Senshiki;S. Hirano;M. Sakurai

文献摘要

相似文献

本文提出了一种利用局部补丁快速恢复模糊图像的盲方法。在该方法中,利用模糊图像的一部分进行点扩展函数估计。此外,我们提出了一种自动计算PSF大小的算法,该算法生成一个自相关图(auto map)。实验结果表明,该方法能够生成准确的去模糊图像,且处理时间明显低于传统去模糊方法。
In this paper, we propose a blind method that rapidly restores blurred images using local patches. In this method, a portion of the blurred image is used for PSF (point spread function) estimation. In addition, we propose an automatic PSF size calculation algorithm that generates an autocorrelation map (auto map). Experimental results show that our proposed method generates accurate de-blurred images, and processing time is significantly lower than that of the conventional de-blurring method.