Blind deconvolution of infrared image

Shan Zhong; Zhenkang Shen

doi:10.1117/12.441419

25 September 2001 Blind deconvolution of infrared image

Shan Zhong, Zhenkang Shen

Proceedings Volume 4548, Multispectral and Hyperspectral Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.441419
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Shan Zhong and Zhenkang Shen "Blind deconvolution of infrared image", Proc. SPIE 4548, Multispectral and Hyperspectral Image Acquisition and Processing, (25 September 2001); https://doi.org/10.1117/12.441419

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