Fast Bilateral Filter
MATLAB implementation of the fast bilateral filter described in the following papers:
** K.N. Chaudhury, D. Sage, and M. Unser, "Fast O(1) bilateral filtering using trigonometric range kernels," IEEE Trans. Image Processing, vol. 20, no. 11, pp. 3376-3382, 2011.
** S. Ghosh and K.N. Chaudhury, "On fast bilateral filtering using Fourier kernels," IEEE Signal Processing Letters, vol. 23, no. 5, pp. 570-573, 2016.
Cite As
Kunal Chaudhury (2024). Fast Bilateral Filter (https://www.mathworks.com/matlabcentral/fileexchange/36657-fast-bilateral-filter), MATLAB Central File Exchange. Retrieved .
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Image Category Classification >
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FastBilateralFilterV2
Version | Published | Release Notes | |
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2.3.0.1 | small code fix. |
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2.3.0.0 | minor fix.
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2.2.0.0 | a bug in the maxFilter code was fixed (thanks to Pravin Nair). |
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2.1.0.0 | new version: optimized to work with narrow range kernels.
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1.14.0.0 | Sterling's formula used to approximate the factorial computation. As a result, the filter can now be used with small range bandwidth, e.g., at \sigma_r=1.
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1.13.0.0 | Replaced rand( ) by randn( ) in the file *demo*. |
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1.12.0.0 | Replaced 'parfor' loop with 'for' loop. |
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1.10.0.0 | A minor update. |
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1.8.0.0 | Code for joint filtering of multiband images added (Courtsey of Derek). |
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1.7.0.0 | screenshot added. |
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1.0.0.0 |