Abstract: Wavelet threshold de noising method has been widely applied in image de noising. Recently, most of the research efforts about wavelet image de noising focus on how to select the threshold, but orthogonal wavelet transform threshold de noising sometimes exhibits visual artifacts, when there is strong noise in image. This de noising method causes image edge distortion seriously. In this paper, a stationary wavelet transform image de noising method is proposed, which can reduce noise effectively with good image edge character. The stationary wavelet de noising has obvious superiority compared with orthogonal wavelet de noising