Image Deblurring Algorithm Based on Dictionary Learning

In order to improve the quality and visual effects of blurred images, we proposes an image deblurring algorithm based on dictionary learning. Firstly, we divides the blurred image into image block structure groups, then we recovers the image block through the K-SVD dictionary and the PCA dictionary, and finally the morphological operations is applied to the difference image to obtain restored image. Experimental results show that the proposed algorithm is better than others in peak structural similarity and visual effect.