Fast Global Image Smoothing Based on Weighted Least Squares

@article{Min2014FastGI,
  title={Fast Global Image Smoothing Based on Weighted Least Squares},
  author={Dongbo Min and Sunghwan Choi and Jiangbo Lu and Bumsub Ham and Kwanghoon Sohn and Minh N. Do},
  journal={IEEE Transactions on Image Processing},
  year={2014},
  volume={23},
  pages={5638-5653}
}
This paper presents an efficient technique for performing a spatially inhomogeneous edge-preserving image smoothing, called fast global smoother. Focusing on sparse Laplacian matrices consisting of a data term and a prior term (typically defined using four or eight neighbors for 2D image), our approach efficiently solves such global objective functions. In… CONTINUE READING