A VQ-based image restoration algorithm

In this paper, we develop a novel VQ-based image restoration algorithm. The mapping between high frequency information in the original images and low frequency information in the corresponding degraded ones is established and stored in the VQ codebooks. Prototype images are used, which belong to the same class of images. During restoration, the high frequency information of a given degraded image is estimated from its low frequency information based on the designed codebook. To make the restoration process computationally efficient, the principal component analysis (PCA) and VQ-nearest neighborhood approaches are utilized. Simulation results are presented to demonstrate the effectiveness of the proposed algorithm.