Fast Bilateral Filtering of Vector-Valued Images
Computer Vision and Pattern Recognition
2016-05-10 v1
Abstract
In this paper, we consider a natural extension of the edge-preserving bilateral filter for vector-valued images. The direct computation of this non-linear filter is slow in practice. We demonstrate how a fast algorithm can be obtained by first approximating the Gaussian kernel of the bilateral filter using raised-cosines, and then using Monte Carlo sampling. We present simulation results on color images to demonstrate the accuracy of the algorithm and the speedup over the direct implementation.
Cite
@article{arxiv.1605.02164,
title = {Fast Bilateral Filtering of Vector-Valued Images},
author = {Sanjay Ghosh and Kunal N. Chaudhury},
journal= {arXiv preprint arXiv:1605.02164},
year = {2016}
}
Comments
To appear in IEEE International Conference on Image Processing