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数字破损图像的非线性各向异性扩散修补算法

Digital Image Inpainting Algorithm for Damaged Images Based on Nonlinear Anisotropic Diffusion

  • 摘要: 首先从局部坐标角度分析整体变分(TV)模型与p-Laplace算子的物理意义,从本质上说明p-Laplace算子的扩散性能优于TV模型,进而提出一种基于p-Laplace算子的图像修补算法.该算法利用p-Laplace算子的非线性各向异性扩散的性能来填充受损区域.与TV修补算法相比,文中算法能快速收敛,并达到更好的修补效果,其综合性能优于TV修补算法.

     

    Abstract: The physical characteristics of total variation (TV) model and p-Laplace operator in local coordinates are analyzed,which shows that the diffusion performance of p-Laplace operator is essentially superior to that of TV model.Then,an image inpainting algorithm based on p-Laplace operator is proposed.This algorithm makes full use of the nonlinear anisotropic diffusion of p-Laplace operator to inpaint damaged images.Experimental results show that the proposed algorithm has better general performance in convergence speed and inpainting quality.

     

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