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Adaptive filtering algorithm and conversion of images to a vector format

机译:自适应滤波算法以及将图像转换为矢量格式

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摘要

A new local filtering algorithm is proposed for differential smoothing the fragments of images, depending on their informational value. A recurrent median filtering algorithm having some advantages over the usual median filter is considered. An image compression approach based on discrimination of isolines followed by smoothing of them with cubic splines is proposed. Processing of atmosphere density maps showed high efficiency of the proposed algorithms.
机译:提出了一种新的局部滤波算法,用于根据图像的信息量进行差分平滑。考虑了一种比常规中值滤波器具有一些优势的递归中值滤波算法。提出了一种基于等值线识别的图像压缩方法,然后用三次样条对其进行平滑。大气密度图的处理显示了所提出算法的高效率。

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