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A Novel Geometric Algorithm for Blind Image Restoration Based on High-Dimensional Space
Jiang XN (Jiang Xuena); Liu YY (Liu Yangyang); Wang SJ (Wang Shoujue)
2010-09-07
会议名称2nd International Congress on Image and Signal Processing
会议日期2009
会议地点Tianjin, PEOPLES R CHINA
合作性质其它
摘要A novel geometric algorithm for blind image restoration is proposed in this paper, based on High-Dimensional Space Geometrical Informatics (HDSGI) theory. In this algorithm every image is considered as a point, and the location relationship of the points in high-dimensional space, i.e. the intrinsic relationship of images is analyzed. Then geometric technique of "blurring-blurring-deblurring" is adopted to get the deblurring images. Comparing with other existing algorithms like Wiener filter, super resolution image restoration etc., the experimental results show that the proposed algorithm could not only obtain better details of images but also reduces the computational complexity with less computing time. The novel algorithm probably shows a new direction for blind image restoration with promising perspective of applications.
关键词Blind Image Restoration High-dimensional Space Geometrical Informatics (Hdsgi) Blurring-blurring-deblurring
学科领域人工智能
收录类别CPCI(ISTP)
语种英语
文献类型会议论文
条目标识符http://ir.semi.ac.cn/handle/172111/13499
专题半导体人工神经网络实验室
推荐引用方式
GB/T 7714
Jiang XN ,Liu YY ,Wang SJ . A Novel Geometric Algorithm for Blind Image Restoration Based on High-Dimensional Space[C],2010.
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