Image blind deconvolution based on kurtosis extrema

Jinghe Yuan; Ziqiang Hu

doi:10.1117/12.710874

27 October 2006 Image blind deconvolution based on kurtosis extrema

Jinghe Yuan, Ziqiang Hu

Author Affiliations +

Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 60471F (2006) https://doi.org/10.1117/12.710874
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China

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.

Citation Download Citation

Jinghe Yuan and Ziqiang Hu "Image blind deconvolution based on kurtosis extrema", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60471F (27 October 2006); https://doi.org/10.1117/12.710874

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