A novel image denoising method based on DCT basis and sparse representation

Image denoising plays an important role in the image pre-processing. There are many methods to solve the problem of image denoising. In this paper, we will propose a new method which based on the K-SVD algorithm by learning dictionary from the noisy image itself. From this Over-complete dictionary, we can describe the image's content effectively. Combine with the sparse representation coefficients which we can get from the pursuit algorithm, we can get the denoised image at last. Experiments result shows that: compared with other methods of image denoising, our method gets a superior result.