自适应中值-加权均值混合滤波器

为了去除图像中混入的脉冲噪声和高斯噪声,提出了一种基于自适应中值滤波和自适应加权均值滤波的混合滤波方法。该方法先将图像分为若干区域,并对每个区域进行噪声检测以实现两类噪声的分离,然后再分别采用自适应中值滤波和自适应加权均值滤波将分离出的脉冲噪声和高斯噪声去除。对这种新方法进行了计算机模拟实验。结果表明:新方法较前人提及的三种混合滤波方法具有更优的滤波性能,在有效抑制混合噪声的同时能很好地保护图像中的细节,为消除图像中的混合噪声提供了一种有效的途径。

Adaptive median-weighted mean hybrid filter

To remove mixed impulse noise and Gaussian noise in digital images, a hybrid filter based on the adaptive median filter and the adaptive weighted mean filter are proposed. The algorithm first divides the image into several parts and separates the two kinds of noise in each part by means of noise detection, then applies the adaptive median filter and the adaptive weighted mean filter to removing impulse noise and Gaussian noise, respectively. Results of computer simulation experiments on this new filter show that it has better filtering performance than the three hybrid filters mentioned, and it can suppress impulse noise and Gaussian noise effectively and preserve fine details very well, which provides an effective means for removing mixed noise in digital images.