Cross-based local multipoint filtering

@article{Lu2012CrossbasedLM,
  title={Cross-based local multipoint filtering},
  author={Jiangbo Lu and Keyang Shi and Dongbo Min and Liang Lin and Minh N. Do},
  journal={2012 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2012},
  pages={430-437}
}
This paper presents a cross-based framework of performing local multipoint filtering efficiently. We formulate the filtering process as a local multipoint regression problem, consisting of two main steps: 1) multipoint estimation, calculating the estimates for a set of points within a shape-adaptive local support, and 2) aggregation, fusing a number of multipoint estimates available for each point. Compared with the guided filter that applies the linear regression to all pixels covered by a… CONTINUE READING

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