An improved adaptive weighted median filtering（ IAWMF） algorithm is proposed

after analyzing the principle and advantages of the adaptive algorithm and the central weighted algorithm. Adopting the way of expanding edge

it can make all the pixels of the original image detected by noise detection factor and adopt center weighted filtering algorithm of adaptive window（ N × N） for filtering image containing noise

which can effectively reduce influence of the neighborhood noise point on quality of filtering image. Simulation results show that the experimental effect（ PSNR

MAE

MSE） acquired by proposed algorithm is better than other algorithms and achieve a good balance between noise reduction and preserving details.