Single Image Super-resolution Reconstruction Method Based on LC-KSVD Algorithm

A good dictionary has direct impact to the result of super-resolution image reconstruction. For solving the problem that dictionary learning only contains representation ability but no class information using K-SVD algorithm, this paper proposes single image super-resolution algorithm based on LC-KSVD (Label consist K-SVD). The algorithm adds classifier parameter constraints into the process of dictionary learning and classifier parameters in the process, making the dictionary possess good representation and discrimination ability. The experimental results show that the algorithm has high reconstruction results and good robustness.