Efficient Image Denoising Method Based on Support Vector Machine

The paper presents a image denoising approach based on Support Vector Machine (SVM). The method proposed here employs the regression capability offered by SVM network to construct a filter for image denoising, where our feather selection and training data-set design enables the suppression of various kinds of noises. Our experimental results demonstrate that the proposed method works well for image denoising while edge information is substantially retained, thus it can be used as a promising image preprocessing tool.