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A Gentle Introduction to Bilateral Filtering and its Applications. Sylvain Paris – MIT CSAIL Pierre Kornprobst – INRIA Odyss ée Jack Tumblin – Northwestern University Frédo Durand – MIT CSAIL. The bilateral filter is becoming in computational photography.

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a gentle introduction to bilateral filtering and its applications

A Gentle Introductionto Bilateral Filteringand its Applications

Sylvain Paris – MIT CSAIL

Pierre Kornprobst – INRIA Odyssée

Jack Tumblin – Northwestern University

Frédo Durand – MIT CSAIL

slide2
The bilateral filter is becoming in computational photography.
  • Many applications with high quality results.
slide8

6 papers atSIGGRAPH’07

Cartoon Rendition[Winnemöller 06]

output

goal image smoothing
Goal: Image Smoothing

Split an image into:

  • large-scale features, structure
  • small-scale features, texture
na ve approach gaussian blur
Naïve Approach: Gaussian Blur

BLUR

HALOS

smoothed(structure, large scale)

residual(texture, small scale)

input

Gaussian Convolution

impact of blur and halos
Impact of Blur and Halos
  • If the decomposition introduces blur and halos, the final result is corrupted.

Sample manipulation:increasing texture(residual 3)

bilateral filter no blur no halos
Bilateral Filter: no Blur, no Halos

smoothed(structure, large scale)

residual(texture, small scale)

input

edge-preserving: Bilateral Filter

many other options
Many Other Options
  • Bilateral filtering is not the only image smoothing filter
    • Diffusion, wavelets, Bayesian…
  • We focus on bilateral filtering
    • Suitable for strong smoothing used in computational photography
    • Conceptually simple
content of the course
Content of the Course

All you need to know about bilateral filtering:

  • Definition of the bilateral filter
  • Parameter influence and settings
  • Applications
  • Relationship to other filters
  • Theoretical properties
  • Efficient implementation
course material
Course Material
  • Course webpage (google “bilateral filter course”):http://people.csail.mit.edu/sparis/siggraph07_course/
    • Detailed course notes
    • Slides (soon)
    • C++ and Matlab code
    • Links
a gentle introduction to bilateral filtering and its applications19
A Gentle Introduction to Bilateral Filtering and its Applications
  • From Gaussian blur to bilateral filter – S. Paris
  • Applications – F. Durand
  • Link with other filtering techniques – P. Kornprobst
  • Implementation – S. Paris
  • Variants – J. Tumblin
  • Advanced applications – J. Tumblin
  • Limitations and solutions – P. Kornprobst

BREAK