Study of the De-noising Method Based on Wavelet and Fractal

With the development of the medical imaging and the imaging equipment, although medical image quality has been improved significantly, and the noise in the majority of images can not be identified artificially, the projection data in the actual scanning process is still interfered inevitably by various noise, and the traditional denoising method can't possess both of reducing image noise and retaining image details. Wavelet domain image denoising processing is an attracting research orientation. In the paper, it introduced an improved wavelet threshold denoising method based on wavelet transform and fractal on the basis of the introducing image denoising principle and the general approach, and realized the computer simulation of wavelet image denoising. The experimental results showed that the algorithm, which could not only perform image denoising treatment effectively, but also keep the details of the original image, could avoid the shortcomings of the conventional method, so it had a good effect.