Super-Resolution via Matching from Self-Decomposed Codebook with Local Distance Measure Incorporating Pixel Correlation

We propose a method for constructing an image of high resolution by augmenting a low resolution image with high frequency components from a given image itself. The estimation of high frequency image components is performed by a codebook built by a decomposition of the given image, i.e. self-decomposed codebook. The rational that is exploited in this approach is the shape-invariant properties of edges across scale. As a distance measure for matching from the codebook, we employ a local distance measure incorporating pixel correlation. The effectiveness of the proposed method is verified by some image super-resolution experiments. Consequently, the experimental results show that the performance of the proposed method is superior to other typical image super-resolution methods objectively and subjectively.