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https://github.com/ufoym/recursive-bf

A lightweight C++ library for recursive bilateral filtering [Yang, Qingxiong. "Recursive bilateral filtering". European Conference on Computer Vision, 2012].
https://github.com/ufoym/recursive-bf

bilateral-filter computer-vision image-processing

Last synced: 13 days ago
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A lightweight C++ library for recursive bilateral filtering [Yang, Qingxiong. "Recursive bilateral filtering". European Conference on Computer Vision, 2012].

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README

        

Recursive bilateral filtering (developed by Qingxiong Yang) is pretty fast compared with most edge-preserving filtering methods
- computational complexity is linear in both input size and dimensionality:
- takes about 43 ms to process a one megapixel color image (i7 1.8GHz & 4GB mem)
- about 18x faster than *Fast high-dimensional filtering using the permutohedral lattice*
- about 86x faster than *Gaussian kd-trees for fast high-dimensional filtering*

## Results


Original Image



OpenCV's BF (896ms)



RecursiveBF (18ms)


Gaussian Blur



Median Blur

For more details of the algorithm, please refer to the original paper

@inproceedings{yang2012recursive,
title={Recursive bilateral filtering},
author={Yang, Qingxiong},
booktitle={European Conference on Computer Vision},
pages={399--413},
year={2012},
organization={Springer}
}

Optionally, you can cite this repo

@misc{ming2017recursive,
author = {Ming Yang},
title = {A lightweight C++ library for recursive bilateral filtering},
year = {2017},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/ufoym/RecursiveBF}}
}