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Fast Bilateral Filter

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Fast Bilateral Filter

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11 May 2012 (Updated )

Fast implementations of the bilateral and the joint/cross bilateral filter.

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Description

MATLAB implementation of the fast O(1) bilateral filter described in the following papers:
[1] 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, 2011.

[2] K.N. Chaudhury, "Acceleration of the shiftable O(1) algorithm for bilateral filtering and non-local means," IEEE Transactions on Image Processing, vol. 22, no. 4, 2013.

Also included is the MATLAB implementation of joint bilateral filtering.

Required Products Image Processing Toolbox
MATLAB release MATLAB 8.4 (R2014b)
MATLAB Search Path
/
/FastBilateralFilter
/FastBilateralFilter/images
/__MACOSX
/__MACOSX/FastBilateralFilter
/__MACOSX/FastBilateralFilter/images
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Comments and Ratings (11)
14 May 2015 Kunal Chaudhury

Prabhakaran Sengodan: Please see my comments from Nov 19/20.

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08 May 2015 Prabhakaran Sengodan

Thanks for such a nice code. Working well for my purpose. Is the maxfilter function really needed? Is there any simple technique to approximately estimate T value? What will be the effect if I keep T as a constant(Say T = max(inputImage(:)); ). Advance thanks :)

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29 Apr 2013 Kunal Chaudhury

Ben: Yes, you can modify the code for volume data as well. The dimension of the data is immaterial.

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20 Apr 2013 Ben

Ben (view profile)

A quick question before trying it: does the code support 3D image?

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20 Nov 2012 Kunal Chaudhury

Yes, it can introduce artifacts in the output if the actual T is much larger than 255. This could well be the case near edges
when processing images corrupted by noise
with large sigma. A better guess in this case would be T + C(sigma), where C(sigma) is a reasonable upper bound on the intensity variation induced by noise.

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19 Nov 2012 PeeVee

PeeVee (view profile)

Does setting T to max (255 in my case) decrease the accuracy of the final result?

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19 Nov 2012 Kunal Chaudhury

One can always use a good guess of the local dynamic range. The 'maxfilter' is not required in this case. Note, however, that the local dynamic range can be much smaller than 255(the global gynamic range) for a grayscale image, and in some cases, it might be difficult to make a good guess of T (eg, if there's a lot of noise).

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17 Nov 2012 PeeVee

PeeVee (view profile)

Most of the time is spent on maxfilter for large image sizes. Is it really necessary, or can we just set T=255?

21 May 2012 Kunal Chaudhury

Thanks Derek. Bug fixed.

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18 May 2012 Derek

Derek (view profile)

Thanks! One bug: change line 66 in maxFilter.m to
R(m - k + 1) = max( R(m - k + 2), template(m - k + 1, jj));

otherwise will get error if width<height

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14 May 2012 Curtis

Curtis (view profile)

Nice effort!

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Updates
11 May 2012 1.7

screenshot added.

21 May 2012 1.8

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

08 Aug 2012 1.10

A minor update.

22 Aug 2012 1.12

Replaced 'parfor' loop with 'for' loop.

18 Apr 2013 1.13

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

24 Jun 2014 1.14

Small fixes made to speedup the code.

12 Jul 2015 1.14

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.

13 Jul 2015 1.14

some minor fix.

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