A new two-step face hallucination through block of coefficients

@article{Naleer2012ANT,
  title={A new two-step face hallucination through block of coefficients},
  author={Haju Mohamed Mohamed Naleer and Yao Lu},
  journal={2012 IEEE International Conference on Computer Science and Automation Engineering (CSAE)},
  year={2012},
  volume={1},
  pages={237-241}
}
We introduce a two-step face hallucination frame work as one of classifying among sparse residual compensation model. In the first step, the optimal coefficients of the interpolated training images are used to construct a global face image. In the second step, a class of priors is computed based on mixing a set of linear priors related to dissimilar priors. The blocks of coefficients are considered to find the sparse mixing weights. In order to find the best improved information of the face… CONTINUE READING

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