Image super-resolution via dual-dictionary learning and sparse representation

@article{Zhang2012ImageSV,
  title={Image super-resolution via dual-dictionary learning and sparse representation},
  author={Jian Zhang and Chen Zhao and Ruiqin Xiong and Siwei Ma and Debin Zhao},
  journal={2012 IEEE International Symposium on Circuits and Systems},
  year={2012},
  pages={1688-1691}
}
Learning-based image super-resolution aims to reconstruct high-frequency (HF) details from the prior model trained by a set of high- and low-resolution image patches. In this paper, HF to be estimated is considered as a combination of two components: main high-frequency (MHF) and residual high-frequency (RHF), and we propose a novel image super-resolution method via dual-dictionary learning and sparse representation, which consists of the main dictionary learning and the residual dictionary… CONTINUE READING
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