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IMAGE INPAINTING-BASED EDGE ENHANCEMENT USING THE EIKONAL EQUATION

机译:基于图像的基于图像的边缘增强使用eikonal方程

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摘要

This paper proposes a novel application of image inpainting techniques for the edge enhancement problems in image deblurring and denoising. The edge enhancement effect is achieved by the jumps of pixel values at edge locations resulted from an inpainting process. The process is formulated by the eikonal partial differential equation (PDE) to rule the inpainting priority of pixels in automatically erased regions. The equation is then numerically solved by the fast marching method. A solution of the Laplace's equation is also embedded in the numerical scheme to assure the smoothness in non-edge locations. Experiments are performed and comparisons are made with other PDE-based enhancement methods to demonstrate the merit of the proposed algorithm.
机译:本文提出了一种新建的图像染色技术在图像去孔和去噪中的边缘增强问题中的应用。 边缘增强效果是通过从修复过程产生的边缘位置处的像素值的跳跃来实现的。 该过程由Eikonal部分微分方程(PDE)制定,以规则在自动擦除区域中规则的初始优先级。 然后通过快速行进方法进行数学解决方案。 Laplace等式的解决方案也嵌入数值方案中,以确保非边缘位置的平滑度。 进行实验,并采用其他基于PDE的增强方法进行比较,以证明所提出的算法的优点。

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