
Proceedings Paper
Image blind deconvolution based on kurtosis extremaFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
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
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)
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)
© SPIE. Terms of Use
