Image detail enhancement using a dictionary technique

We present a novel approach to detail enhancement using a dictionary-based technique. For each low-resolution input image patch, we seek a sparse representation from an over-complete dictionary and use that to estimate the high-resolution patch. We modify an existing dictionary-based super-resolution method in several ways to achieve enhancement of fine detail without introduction of new artifacts. These modifications include adaptive enhancement of reconstructed detail patches based on edge analysis to avoid halo artifacts and using an adaptive regularization term to enable noise suppression while enhancing detail. We compare with state-of-the-art methods and show better results in terms of enhancement with suppression of noise.