文件名称:Curvature_Driven_Duffusion
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- 上传时间:2015-05-29
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将空间非局部导数算子引入曲率驱动扩散方程,建立了一个基于非局部曲率驱动扩散的图像修复模型。与原模型的主要差别在于,原模型利用待修复像素的空间局部信息来估计丢失像素,
而新模型利用和待修复像素相似的所有像素来估计丢失像素,充分利用了图像的全局信息。数值实验表明,新模型在图像修复,尤其是纹理图像的修复方面非常有效。-The space nonlocal derivative operator to introduce the curvature driven diffusion equation, image restoration based on model-driven proliferation of non-local curvature. The main difference with the original model is that the original model to be repaired using space of local information to estimate the missing pixels pixels, the new model takes advantage of all the pixels and a pixel to be repaired similar to estimate missing pixel, full use of the global information image. Numerical experiments show that the new model in image restoration, especially in terms of texture image restoration is very effective.
而新模型利用和待修复像素相似的所有像素来估计丢失像素,充分利用了图像的全局信息。数值实验表明,新模型在图像修复,尤其是纹理图像的修复方面非常有效。-The space nonlocal derivative operator to introduce the curvature driven diffusion equation, image restoration based on model-driven proliferation of non-local curvature. The main difference with the original model is that the original model to be repaired using space of local information to estimate the missing pixels pixels, the new model takes advantage of all the pixels and a pixel to be repaired similar to estimate missing pixel, full use of the global information image. Numerical experiments show that the new model in image restoration, especially in terms of texture image restoration is very effective.
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下载文件列表
P197Curvature_Driven_Duffusion/curv.m
P197Curvature_Driven_Duffusion/Curvature_Driven_Duffusion.m
P197Curvature_Driven_Duffusion/lenna.bmp
P197Curvature_Driven_Duffusion
P197Curvature_Driven_Duffusion/Curvature_Driven_Duffusion.m
P197Curvature_Driven_Duffusion/lenna.bmp
P197Curvature_Driven_Duffusion
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