Nephogram super-resolution algorithm using over-completedictionary via sparse representatio
过完备字典稀疏表示的云图超分辨率算法

Motivated by the fact that image patch can be sparse represented using a suitable over-complete dictionary, a nephogramsuper-resolution algorithm via sparse representation using over-complete dictionary is presented. During the experimenttwo dictionaries Dl and Dh for the low-resolution and high-resolution nephogram patches were trained jointly in order to guaranteethat the low-resolution and high-resolution patch pair possesses similar sparse representations as to their own dictionary.Through solving optimization problem, the sparse representation for each low-resolution nephogram patch with respect to Dl wasobtained, and the representation coefficients were applied to Dh in order to generate the corresponding high-resolution nephogrampatch. At the end of experiment the high-resolution nephogram which satisfies the reconstruction constraint was achieved by usinggradient descent algorithm. Numerical experiments for infrared and visual nephogram demonstrate the effectiveness of theproposed algorithm. Moreover, the proposed algorithm outperforms interpolation based methods in terms of visual quality andthe Peak Signal to Noise Ratio (PSNR).