Research on Lightweight Adaptive Median Image Filtering Based on Row-Column Separation Strategy

In this paper, a lightweight adaptive median filtering algorithm based on row-column separation strategy is proposed, aiming to improve the efficiency of image noise reduction processing. The row-column separation strategy significantly reduces the computational complexity, and combines the techniques of mirror filling, fast separable median filtering and noise estimation to significantly improve the operational efficiency of the algorithm while ensuring the filtering quality. The experimental results show that compared with the traditional median filtering algorithm, the algorithm has significant advantages in processing speed and noise reduction effect.