采用一种新的滤波方法去除图像噪声

Remove Noises Based on a New Filter Method

提出了一种新的滤波方法,使用适当窗口在图像上滑动,计算该窗口中心像素的块均匀度,并与整幅图像的块均匀度比较,自适应地确定窗口中心像素是否为噪声点;然后统计该窗口中噪声点的个数,自适应地调整滤波窗口大小,最后自适应地计算权值,并采用改进的加权中值滤波方法对噪声点进行逐点滤波.模拟实验和分析结果表明该方法是有效的,既能有效地去除图像噪声点,又能较好地保持图像细节部分,为去除图像中的噪声提供了一种新的方法.

A new filter method was proposed. By a appropriate window sliding in the original image the block uniformity of the window was calculated and was compared with the block uniformity of the entire image, therefore, the window center pixel was adaptively determined whether it was a noise one; The number of noises in the window was counted so that the filter window size was adaptively adjusted; The weighted value of each pixel in the filter window was adaptively calculated and the improved median filter method was used to eliminate noise pixels. The paper finally produced the experiments and the result analysis, This algorithm can effectively remove noises and also retain image details very well. It also provides a new way for image filtering.