Learning context-aware sparse representation for single image super-resolution

@article{Yang2011LearningCS,
  title={Learning context-aware sparse representation for single image super-resolution},
  author={Ming-Chun Yang and Chang-Heng Wang and Ting-Yao Hu and Yu-Chiang Frank Wang},
  journal={2011 18th IEEE International Conference on Image Processing},
  year={2011},
  pages={1349-1352}
}
This paper presents a novel learning-based method for single image super-resolution (SR). Given an input low-resolution image and its image pyramid, we propose to perform context-constrained image segmentation and construct an image segment dataset with different context categories. By learning context-specific image sparse representation, our method aims to model the relationship between the interpolated image patches and their ground truth pixel values from different context categories via… CONTINUE READING
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