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From patches to pixels in Non-Local methods: Weighted-average reprojection

机译:在非局部方法中,从色块到像素:加权平均重投影

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Since their introduction in denoising, the family of non local methods, whose Non-Local Means (NL-Means) is the most famous member, has proved its ability to challenge other powerful methods such as wavelet based approaches or variational techniques. Though simple to implement and efficient in practice, the classical NL-Means suffers from ringing artifacts around edges. In this paper, we present an easy to implement and time efficient modification of the NL-means based on a better reprojection from the patches space to the original (image) pixel space. We illustrate the performance of our method on a toy example and on some classical images.
机译:自从引入去噪以来,非局部方法家族(其非局部均值(NL-Means)是最著名的成员)已经证明了它具有挑战其他强大方法(如基于小波的方法或变分技术)的能力。尽管易于实现且在实践中高效,但传统的NL-均值法在边缘周围会出现环状伪影。在本文中,我们基于从色块空间到原始(图像)像素空间的更好的重新投影,提出了一种易于实现且节省时间的NL-means修改方法。我们在一个玩具示例和一些经典图像上说明了我们方法的性能。

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