摘要: 双边滤波能在去除噪声的同时有效地保留图像的边缘信息。但双边滤波的时间复杂度高,执行时间长。根据近似层和亮度分层的概念,利用标识点及像素层来快速实现双边滤波。首先根据灰度差值划分图像的像素层,然后在像素层上选择标识点,并利用标识点计算像素层的滤波值,最后通过线性插值获得各像素点的滤波值,并输出滤波图像。该改进算法称为标识点双边滤波(Identification Bilateral Filtering)。在实验中分别对灰度和彩色图像进行了双边滤波。实验结果表明,IBF算法执行时间短,并能获得较好的滤波效果。
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