The Restoration of Motion Blurred Images Based on the Background Modeling
2014 ◽
Vol 687-691
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pp. 3591-3595
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For the mutual effects of camera shake and subject movement, the image generation space varying motion blur. In order to achieve image restoration, firstly dividing the image area using the Gaussian background modeling, and updated model adaptive to improve the speed and convergence accuracy. Then use the total variation (TV) of the L1 model to estimate the regional point spread function (PSF), and adopted the edge density weight to reduce small edge’s interference for the PSF estimates. Eventually to restored image by Wiener filter. Through experimental analysis, compared with other algorithms, our algorithms get better results in the space varies motion-blurred image.
2013 ◽
Vol 409-410
◽
pp. 1593-1596
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2021 ◽
Vol 9
(3)
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pp. 96
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2013 ◽
Vol 753-755
◽
pp. 2976-2979
2014 ◽
Vol 1006-1007
◽
pp. 739-742
Keyword(s):
2014 ◽
Vol 29
(5)
◽
pp. 751-755
Keyword(s):
Keyword(s):
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