一种改进的双边滤波算法

A Modified Bilateral Filtering Algorithm

双边滤波是一种既可有效降低图像加性噪声又可保持图像边缘细节的滤波技术,它能同时利用邻域内像素点的空间邻近度信息和亮度像似度信息。然而,双边滤波器的2维实现方式和浮点型空间邻近度因子不利于硬件实现,且计算量大。提出了一种改进的双边滤波算法,该算法设计了整数型空间邻近度因子,使用水平和垂直方向上的1维滤波实现方式,并能自适应地设置空间邻近度控制参数的值。实验结果表明,改进的双边滤波算法可获得较好的滤波效果。

Bilateral filtering is an edge-preserving filtering technique; it employs both geometric closeness and radiometric similarity of neighboring pixels. A 2-dimensional implementation of the bilateral filter and its float closeness, however, are not suitable for hardware implementation and computationally expensive. In this paper, a modified bilateral filtering algorithm is proposed. It improves the bilateral filtering in three aspects： designing integer geometric closeness, restoring image in 1-dimensional and adaptively choosing control parameter of radiometric similarity. Experiments show that the modified bilateral filtering can achieve better performance.