Blind remote sensing image deblurring algorithm based on Gaussian curvature and reweighted graph total variation

CAI Zhi-dan, FANG Ming, LI Zhe, XU Jia-lu

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J Jilin Univ Eng Tech Ed ›› 2023, Vol. 53 ›› Issue (09) : 2649-2658. DOI: 10.13229/j.cnki.jdxbgxb.20230140

Blind remote sensing image deblurring algorithm based on Gaussian curvature and reweighted graph total variation

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Abstract

To tackle the motion blur in the process of acquiring remote sensing images， an algorithm for blind deblurring of remote sensing images is designed. The algorithm is based on the geometric property of image surfaces and the algebraic property of image pixels， and it utilizes Gaussian curvature and reweighted graph total variation. First， the reweighted graph total variational prior and Gaussian curvature prior were combined to obtain the skeleton image which not only retains the gradient and sharp edge information， but also removes the harmful structural information in the latent clean image. Then， the skeleton image is used to estimate the fuzzy kernel， and then the non-blind deblurring algorithm is used to obtain the clear image. Finally, simulation validation was conducted on 8 fuzzy remote sensing images in different scenarios, and the results showed that, compared with other advanced image deblurring algorithms， the peak signal-to-noise ratio of the recovery effect of the deblurring algorithm proposed is higher than that of the comparison algorithm by 2.76， 1.84， 3.11， 2.79， 3.35， 2.76 dB， respectively. The structure similarity is higher than that of the comparison algorithm by 0.0792、0.0604、0.0873、0.0801、0.0997、0.0906， respectively. The remote sensing images recovered by our proposed algorithm have clear edge contours and local details while improving the clarity of remote sensing images.

Key words

computational mathematics / remote sensing image / Gaussian curvature / reweighted graph total variation / blind image deblurring

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CAI Zhi-dan , FANG Ming , LI Zhe , et al. Blind remote sensing image deblurring algorithm based on Gaussian curvature and reweighted graph total variation. Journal of Jilin University(Engineering and Technology Edition). 2023, 53(09): 2649-2658 https://doi.org/10.13229/j.cnki.jdxbgxb.20230140

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