Local Covariance Filtering for Color Images
Local Covariance Filtering for Color Images
复制标题
彩色图像的局部协方差滤波
DOI：
10.1007/978-3-642-37447-0_31
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Masaaki Ikehara
中科院分区：
文献类型：
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作者：
Keiichiro Shirai;Masahiro Okuda;Takao Jinno;Masayuki Okamoto;Masaaki Ikehara
在这篇文章中，我们介绍了一种新的边缘感知滤波器，它处理彩色图像的局部协方差。首先对每个像素点的协方差矩阵进行奇异值分解，然后利用特征控制函数对对角线特征值进行滤波。我们的过滤器形式概括了一大类边缘感知过滤器。一旦计算出SVD，用户就可以通过修改特性控制函数的曲线来图形化地控制滤波器特性，就像处理色调曲线一样，同时实时看到结果。我们还介绍了一种高效的像素奇异值分解的迭代计算方法，它能够显著减少其执行时间。
In this paper, we introduce a novel edge-aware filter that manipulates the local covariances of a color image. A covariance matrix obtained at each pixel is decomposed by the singular value decomposition (SVD), then diagonal eigenvalues are filtered by characteristic control functions. Our filter form generalizes a wide class of edge-aware filters. Once the SVDs are calculated, users can control the filter characteristic graphically by modifying the curve of the characteristic control functions, just like tone curve manipulation while seeing a result in real-time. We also introduce an efficient iterative calculation of the pixel-wise SVD which is able to significantly reduce its execution time.