inpainting_mcfinpainting_mcfInpaintingMcfInpaintingMcfinpainting_mcf (算子名称)

名称

inpainting_mcfinpainting_mcfInpaintingMcfInpaintingMcfinpainting_mcf — Perform an inpainting by smoothing of level lines.

参数签名

描述

该算子 inpainting_mcfinpainting_mcfInpaintingMcfInpaintingMcfInpaintingMcfinpainting_mcf extends the image edges that adjoin the region 区域区域区域区域区域区域 of the input image ImageImageImageImageimageimage into the interior of 区域区域区域区域区域区域 and connects their ends by smoothing the level lines of the gray value function of ImageImageImageImageimageimage.

This happens through the application of the mean curvature flow or intrinsic heat equation on the gray value function u defined in the region 区域区域区域区域区域区域 by the input image ImageImageImageImageimageimage at a time . The discretized equation is solved in IterationsIterationsIterationsIterationsiterationsiterations time steps of length ThetaThetaThetaThetathetatheta, so that the output image InpaintedImageInpaintedImageInpaintedImageInpaintedImageinpaintedImageinpainted_image contains the gray value function at the time IterationsIterationsIterationsIterationsiterationsiterations * ThetaThetaThetaThetathetatheta .

A stationary state of the mean curvature flow equation, which is also the basis of 该算子 mean_curvature_flowmean_curvature_flowMeanCurvatureFlowMeanCurvatureFlowMeanCurvatureFlowmean_curvature_flow, has the special property that the level lines of u all have the curvature 0. This means that after sufficiently many iterations there are only straight edges left inside the computation area of the output image InpaintedImageInpaintedImageInpaintedImageInpaintedImageinpaintedImageinpainted_image. By this, the structure of objects inside of 区域区域区域区域区域区域 can be simplified, while the remaining edges are continuously connected to those of the surrounding image matrix. This allows for a removal of image errors and unwanted objects in the input image, a so called image inpainting, which is only weakly visible to a human beholder since there remain no obvious artifacts or smudges.

To detect the image direction more robustly, in particular on noisy input data, an additional isotropic smoothing step can precede the computation of the gray value gradients. The parameter SigmaSigmaSigmaSigmasigmasigma determines the magnitude of the smoothing by means of the standard deviation of a corresponding Gaussian convolution kernel, as used in 该算子 isotropic_diffusionisotropic_diffusionIsotropicDiffusionIsotropicDiffusionIsotropicDiffusionisotropic_diffusion for isotropic image smoothing.

注意

Note that filter operators may return unexpected results if an image with a reduced domain is used as input. Please refer to the chapter 过滤器.

运行信息

• 多线程类型:可重入(与非独占操作符并行运行)。
• 多线程作用域:全局(可以从任何线程调用)。
• 在元组级别自动并行化。
• 在图像通道级别自动并行化。

参数表

可替代算子

harmonic_interpolationharmonic_interpolationHarmonicInterpolationHarmonicInterpolationHarmonicInterpolationharmonic_interpolation, inpainting_ctinpainting_ctInpaintingCtInpaintingCtInpaintingCtinpainting_ct, inpainting_anisoinpainting_anisoInpaintingAnisoInpaintingAnisoInpaintingAnisoinpainting_aniso, inpainting_cedinpainting_cedInpaintingCedInpaintingCedInpaintingCedinpainting_ced, inpainting_textureinpainting_textureInpaintingTextureInpaintingTextureInpaintingTextureinpainting_texture

References

M. G. Crandall, P. Lions; “Convergent Difference Schemes for Nonlinear Parabolic Equations and Mean Curvature Motion”; Numer. Math. 75 pp. 17-41; 1996.
G. Aubert, P. Kornprobst; “Mathematical Problems in Image Processing”; Applied Mathematical Sciences 147; Springer, New York; 2002.

模块

Foundation

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