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Inpainting using Airy Diffusion

机译:使用Airy扩散进行修补

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摘要

One inpainting procedure based on Airy diffusion is proposed, implemented via Maple and applied to some digital images. Airy diffusion is a partial differential equation with spatial derivatives of third order in contrast with the usual diffusion with spatial derivatives of second order. Airy diffusion generates the Airy semigroup in terms of the Airy functions which can be rewritten in terms of Bessel functions. The Airy diffusion can be used to smooth an image with the corresponding noise elimination via convolution. Also the Airy diffusion can be used to erase objects from an image. We build an algorithm using the Maple package ImageTools and such algorithm is tested using some images. Our results using Airy diffusion are compared with the similar results using standard diffusion. We observe that Airy diffusion generates powerful filters for image processing which could be incorporated in the usual packages for image processing such as ImageJ and Photoshop. Also is interesting to consider the possibility to incorporate the Airy filters as applications for smartphones and smart-glasses.
机译:提出了一种基于艾里扩散的修复方法,该方法通过Maple实现,并应用于一些数字图像。空气扩散是具有三阶空间导数的偏微分方程,与通常具有二阶空间导数的扩散相反。艾里扩散根据艾里函数产生艾里半群,该艾里函数可以根据贝塞尔函数重写。艾里扩散可以用于通过卷积消除相应噪声的情况下使图像平滑。艾里扩散也可以用于从图像中删除对象。我们使用Maple软件包ImageTools构建了一种算法,并使用某些图像对该算法进行了测试。我们将使用Airy扩散的结果与使用标准扩散的相似结果进行了比较。我们观察到,艾里扩散产生强大的图像处理过滤器,可以将其合并到用于图像处理的常规程序包中,例如ImageJ和Photoshop。考虑将Airy滤镜作为智能手机和智能眼镜的应用程序并入的可能性也很有趣。

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