中文说明： 提出一种新算法滤除噪声在级灰度和彩色图像。论的核心概念是基于图像滤波算法是颜色之间的空间相关性的度量： 我们说两种 颜色空间关联，是否这些出现在大多数情况下，图像中关于颜色的其他对附近。在离散的情况下，这项措施的空间 相关性是邻接矩阵，可以有效地计算。这是非迭代的 autocalibrable筛选器。鉴于其相似性在履行与双边滤波 （FB），进行了比较 与这种过滤器使用一种估计参数对 FB 的当前技术。可以看出，拟议压滤机一般生产比 FB 的效果更佳。 内部函数文件的使用说明。
English Description：
Propose a novel algorithm for removing noise in gray-levels and color images. The core concept on which is based the image filtering algorithm is a measure of spatial correlation between colors: we say that two colors are spatially correlated if these appear nearby in the image most often, with respect to the other pairs of colors. In the discrete case, this measure of spatial correlation is represented by an Adjacency matrix, which can be calculated efficiently. This is a non-iterative autocalibrable filter. Given its similarity in its implementation with the bilateral filter (FB), comparisons were made with this kind of filters using a current techni