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Image Deblurring with Adaptive Total Variation Model

机译:自适应总变化模型的图像去模糊

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摘要

In this paper the models of blurring and methods of deblurring are introduced. A kind of nonlinear image deblurring approach is discussed, which comes from constrained optimization total variation approaches. An adaptive TV model method of image deblurring based on common TV model methods is proposed. The experimental results indicate that the proposed method can protect the details of the blurry image more efficiently and satisfy some deblurring requirements more adaptively.
机译:本文介绍了模糊模型和去模糊方法。讨论了一种基于约束优化的总变分方法的非线性图像去模糊方法。提出了一种基于普通电视模型方法的自适应电视模型图像去模糊方法。实验结果表明,该方法可以更有效地保护模糊图像的细节,并能更自适应地满足一些去模糊要求。

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