Informations are playing more and more important role in our life. Most of them are images. However

many kinds of noise will occur during image generation

communication and transformation

and will affect the image quality. By using image-smoothing technique

the noise can be dwindled

but some image details and value information are also lost while the dwindling noise by using the most used traditional smoothing methods. For solving this problem

a novel image noise smoothing method based on high order statistics has been proposed in this paper. It uses the property that high order statistics are not sensitive to Gauss noise to process image-smoothing

and can mostly save the image details while greatly dwindling noise. Experimental results have shown the effectiveness of the proposal scheme

the experimental image quality has been improved about 1.7dB compared with the image processed by other method.