An Improved Median Filtering Algorithm Combined with Average Filtering

To solve the contradiction between the noise-reducing effect and the time complexity of the standard median filter algorithm, the paper proposed an improved median filter algorithm combined with average filtering. According to the correlation of the image, the algorithm adaptively resizes the filter mask according to noise levels of the mask. According to the sorting results of the selected pixel values in the neighborhood, the algorithm uses the median to replace the original pixel. Experimental results show that the improved algorithm can effectively reduce time complexity and has better noise-reducing effect than the standard median filter algorithm. It has a good application prospect in image processing.