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• W2963292728 abstract "The problem of deblurring an image when the blur kernel is unknown remains challenging after decades of work. Recently there has been rapid progress on correcting irregular blur patterns caused by camera shake, but there is still much room for improvement. We propose a new blind deconvolution method using incremental sparse edge approximation to recover images blurred by camera shake. We estimate the blur kernel first from only the strongest edges in the image, then gradually refine this estimate by allowing for weaker and weaker edges. Our method competes with the benchmark de-blurring performance of the state-of-the-art while being significantly faster and easier to generalize." @default.
• W2963292728 created "2019-07-30" @default.
• W2963292728 creator A5042502878 @default.
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• W2963292728 date "2013-09-01" @default.
• W2963292728 modified "2023-09-27" @default.
• W2963292728 title "Correcting camera shake by incremental sparse approximation" @default.
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• W2963292728 doi "https://doi.org/10.1109/icip.2013.6738118" @default.
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