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Proceedings Paper

Image blind deconvolution based on kurtosis extrema
Author(s): Jinghe Yuan; Ziqiang Hu
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Paper Abstract

In many applications of image processing, the observed image can be considered as a convolution of the original image and the point spread function (PSF) of the observation instruments. The operation to obtain the original image from the observed image is called deconvolution. We have more interests in the case named blind deconvolution that the PSF is not known in advance. Based on kurtosis extrema, we develop an algorithm of blind deconvolution. Several experiments on the micrograph and astronomy images demonstrate its feasibility. This is a universal image blind deconvolution method, and can be applied to many image blind deconvolution areas.

Paper Details

Date Published: 27 October 2006
PDF: 7 pages
Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60471F (27 October 2006); doi: 10.1117/12.710874
Show Author Affiliations
Jinghe Yuan, Yantai Univ. (China)
Ziqiang Hu, Yantai Univ. (China)

Published in SPIE Proceedings Vol. 6047:
Fourth International Conference on Photonics and Imaging in Biology and Medicine
Kexin Xu; Qingming Luo; Da Xing; Alexander V. Priezzhev; Valery V. Tuchin, Editor(s)

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