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Inpainting using Airy Diffusion

机译:使用通风扩散的染色

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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:提出了一种基于通气扩散的一种初步过程,通过枫树实现并应用于某些数字图像。通风扩散是具有第三顺序的空间衍生物的局部微分方程,其与通常的二阶衍生物的通常扩散相反。通风扩散在通风功能方面产生通风半群,这可以根据贝塞尔功能重写。通气扩散可用于平滑通过卷积与相应的噪声消除图像的图像。 Airy扩散也可用于擦除图像的对象。我们使用Maple封装Imagetools构建算法,使用一些图像测试此类算法。我们使用Airy扩散的结果与使用标准扩散的类似结果进行比较。我们观察到,空气扩散为图像处理产生强大的滤波器,该图像处理可以结合在诸如ImageJ和Photoshop之类的图像处理的通常包中。也有趣的是考虑将空气过滤器纳入智能手机和智能眼镜的应用。

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