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

Bilateral Filtering: Theory and Applications

By 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

Publication Date: 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

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ISBN: 978-1-60198-250-6
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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