Tensor voting based method for image denoising

The computation of voting field is the key computation step of image de-noising based on tensor voting that is a highly robust feature extraction method. As the traditional tensor voting field is approximately elliptic and symmetry, there will be redundant computation resulted during the course of tensor voting superposition. The voting field of the images of symmetry property can be simplified to half of the original traditional field. On the basis of this simplification idea, this paper presents an image de-noising method based on voting field, with a comparison of its result with those of median filter de-noising and of wavelet de-noising. The experiment shows that the method presented in this paper can efficiently reduce the image noise, with the key details of the image preserved.