Image restoration through dictionary learning and sparse representation

Based on the content dual-dictionary learning and sparse representation, we put forward a novel method of image restoration. This method can improve the adaptive ability of the image. To restore the image, the dual-dictionary is trained with sparse representation. Comparing with the traditional dictionary learning algorithm, the method in this paper can capture more high-frequency information and enhance the image quality further in image reconstruction. The experimental results show that the proposed method is useful for image restoration and much better than other methods.