Foundations and Trends® in Computer Graphics and Vision > Vol 4 > Issue 1

Bilateral Filtering: Theory and Applications

Sylvain Paris, Adobe Systems, Inc., USA, sparis@adobe.com Pierre Kornprobst, NeuroMathComp Project Team INRIA, France, Pierre.Kornprobst@inria.fr Jack Tumblin, Department of Electrical Engineering and Computer Science, Northwestern University, USA, jet@cs.northwestern.edu Frédo Durand, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, USA, fredo@mit.edu
 
Suggested Citation
Sylvain Paris, Pierre Kornprobst, Jack Tumblin and Frédo Durand (2009), "Bilateral Filtering: Theory and Applications", Foundations and Trends® in Computer Graphics and Vision: Vol. 4: No. 1, pp 1-73. http://dx.doi.org/10.1561/0600000020

Published: 18 Aug 2009
© 2009 S. Paris, P. Kornprobst, J. Tumblin and F. Durand
 
Subjects
Image restoration and enhancement
 

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In this article:
1. Introduction
2. From Gaussian Convolution to Bilateral Filtering
3. Applications
4. Efficient Implementation
5. Relationship between Bilateral Filtering and Other Methods or Framework
6. Extensions of Bilateral Filtering
7. Conclusions
Acknowledgments
References

Abstract

The bilateral filter is a non-linear technique that can blur an image while respecting strong edges. Its ability to decompose an image into different scales without causing haloes after modification has made it ubiquitous in computational photography applications such as tone mapping, style transfer, relighting, and denoising. This text provides a graphical, intuitive introduction to bilateral filtering, a practical guide for efficient implementation and an overview of its numerous applications, as well as mathematical analysis.

DOI:10.1561/0600000020
ISBN: 978-1-60198-250-6
84 pp. $65.00
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ISBN: 978-1-60198-251-3
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Table of contents:
1. Introduction
2. From Gaussian Convolution to Bilateral Filter
3. Applications
4. Efficient Implementation
5. Relationship between BF and Other Methods or Framework
6. Extensions of Bilateral Filtering
7. Conclusions
Acknowledgements
References

Bilateral Filtering

Bilateral filtering is one of the most popular image processing techniques. The bilateral filter is a nonlinear process that can blur an image while respecting strong edges. Its ability to decompose an image into different scales without causing haloes after modification has made it ubiquitous in computational photography applications such as tone mapping, style transfer, relighting, and denoising.

Bilateral Filtering: Theory and Applications provides a graphical, intuitive introduction to bilateral filtering, a practical guide for efficient implementation, an overview of its numerous applications, as well as mathematical analysis. This broad and detailed overview covers theoretical and practical issues that will be useful to researchers and software developers.

 
CGV-020