Fast Bilateral Filter

Fast bilateral filtering using Fourier approximation.
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Aktualisiert 6. Jan 2019

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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.

Zitieren als

Kunal Chaudhury (2026). Fast Bilateral Filter (https://de.mathworks.com/matlabcentral/fileexchange/36657-fast-bilateral-filter), MATLAB Central File Exchange. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2018b
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
Version Veröffentlicht Versionshinweise
2.3.0.1

small code fix.

2.3.0.0

minor fix.
Snapshot of the GUI added.
GUI added.

2.2.0.0

a bug in the maxFilter code was fixed (thanks to Pravin Nair).

2.1.0.0

new version: optimized to work with narrow range kernels.
minor fix

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.
some minor fix.
Small fixes made to speedup the code.

1.13.0.0

Replaced rand( ) by randn( ) in the file *demo*.

1.12.0.0

Replaced 'parfor' loop with 'for' loop.

1.10.0.0

A minor update.

1.8.0.0

Code for joint filtering of multiband images added (Courtsey of Derek).

1.7.0.0

screenshot added.

1.0.0.0