Fast Local Laplacian Filters
Author:
Affiliation:
1. INRIA/ENS, Paris, France
2. Adobe, Cambridge, MA
3. Google Inc., CA
4. University College London, UK
5. Massachusetts Institute of Technology, Cambridge, MA
Abstract
Publisher
Association for Computing Machinery (ACM)
Link
https://dl.acm.org/doi/pdf/10.1145/2629645
Reference37 articles.
1. A. Adams J. Baek and A. Davis. 2010. Fast high-dimensional filtering using the permutohedral lattice. http://graphics.stanford.edu/papers/permutohedral/permutohedral.pdf. A. Adams J. Baek and A. Davis. 2010. Fast high-dimensional filtering using the permutohedral lattice. http://graphics.stanford.edu/papers/permutohedral/permutohedral.pdf.
2. Gaussian KD-trees for fast high-dimensional filtering
3. Two-scale tone management for photographic look
4. A common framework for nonlinear diffusion, adaptive smoothing, bilateral filtering and mean shift
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