A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution

@inproceedings{Timofte2014AAA,
  title={A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution},
  author={Radu Timofte and Vincent De Smet and Luc Van Gool},
  booktitle={ACCV},
  year={2014}
}
We address the problem of image upscaling in the form of single image super-resolution based on a dictionary of low- and high-resolution exemplars. Two recently proposed methods, Anchored Neighborhood Regression (ANR) and Simple Functions (SF), provide state-of-the-art quality performance. Moreover, ANR is among the fastest known super-resolution methods. ANR learns sparse dictionaries and regressors anchored to the dictionary atoms. SF relies on clusters and corresponding learned functions. We… CONTINUE READING

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