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.