摘要
高斯模糊是图像处理中重要的算法,利用高斯函数的线性可分特性,使用二维矩阵变换得到的效果,可以通过在水平方向进行一维高斯矩阵变换加上竖直方向的一维高斯矩阵变换得到。基于这个特性,在算法实现时可将效率提高约一个数量级。
Gaussian blur is an important image processing algorithm.Uses the linearly separable characteristics of Gaussian function,the effect of applying the two-dimensional matrix can also be achieved by applying a series of single-dimensional Gaussian matrices in the horizontal direction and in the vertical direction.Based on this characteristic,the algorithm efficiency can be enhanced about 10 times in speed.
出处
《现代计算机》
2010年第8期76-77,100,共3页
Modern Computer
关键词
高斯模糊
线性可分
图像处理
Gaussian Blur
Linearly Separable
Image Processing
