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首页> 外文期刊>Journal of visual communication & image representation >Fast image inpainting and colorization by Chambolle's dual method
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Fast image inpainting and colorization by Chambolle's dual method

机译:通过Chambolle的对偶方法快速进行图像修复和着色

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摘要

In this paper, we propose to use Chambolle's dual methods to solve Total Variation (TV) inpainting model and (weighted) TV colorization model. The fidelity coefficients in these two models are functions which taking zero in the inpainting region and a positive constant in the other region. Then Chambolle's dual method can not be directly used to solve these models since the fidelity coefficient will be denominator in the algorithm. In order to overcome this drawback, we propose to approximate these models by adding new variables. Then the approximated problems can be solved by alternating minimization method with Chambolle's dual method and closed form solutions which is fast and easy to implement. Mathematical results of existence of minimizers are proved for both the original and the approximated problems. Numerical results and comparison with other closely related methods demonstrate that our algorithms are quite efficient.
机译:在本文中,我们建议使用Chambolle的对偶方法来解决总变化(TV)修复模型和(加权)TV着色模型。这两个模型中的保真系数是在修复区域取零,在其他区域取正常数的函数。由于保真系数将成为算法的分母,因此Chambolle的对偶方法不能直接用于求解这些模型。为了克服此缺点,我们建议通过添加新变量来近似这些模型。然后通过交替最小化方法与Chambolle的对偶方法以及封闭形式的解决方案(快速,易于实现)解决近似问题。对于原始问题和近似问题,都证明了最小化器存在的数学结果。数值结果以及与其他密切相关的方法的比较表明,我们的算法非常有效。

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