Mixed l(p)/l(1) Norm Minimization Approach to Intra-Frame Super-Resolution

摘要

This paper deals with the problem of reconstructing a high-resolution digital image from a single low-resolution digital image and proposes a new intra-frame super-resolution algorithm based on the mixed l(p)/l(1) norm minimization. Introducing some assumptions, this paper formulates the super-resolution problem as a mixed l(0)/l(1) norm minimization and relaxes the l(0) norm term to the l(p) norm to avoid ill-posedness. A heuristic iterative algorithm is proposed based on the iterative reweighted least squares (IRLS). Numerical examples show that the proposed algorithm achieves super-resolution efficiently.