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Proceedings Paper

Blind deconvolution of infrared image
Author(s): Shan Zhong; Zhenkang Shen
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Paper Abstract

In this paper, we apply blind deconvolution to infrared images. We concentrate on the important case where the blurring operation is spatially invariant; the point spread function (PSF) is more like a speckle, an out-of-focus, or their combinations with a little motion blur. The information suggestion on PSF is only Gaussian based spectra or shape. The restoration procedure involves estimating the PSF and the true image alternatively. For simplicity, we use gradient-based iterative method to solve minimization problem. The model is not complicated and we make the uncertainty of blind deconvolution into the choice of only a few parameters. Finally, deconvolution results are presented for both synthetic and real data.

Paper Details

Date Published: 25 September 2001
PDF: 5 pages
Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); doi: 10.1117/12.441419
Show Author Affiliations
Shan Zhong, National Univ. of Defense Technology (China)
Zhenkang Shen, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 4548:
Multispectral and Hyperspectral Image Acquisition and Processing

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