A Novel Geometric Algorithm for Blind Image Restoration Based on High-Dimensional Space

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.

Submitted by 阎军 (yanj@red.semi.ac.cn) on 2010-09-07T11:39:45Z No. of bitstreams: 1 A Novel Geometric Algorithm for Blind Image Restoration Based on High-Dimensional Space.pdf: 1077954 bytes, checksum: d307bdf93deb1af88115fbfb54ffbd9e (MD5)

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