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Dec 23, 2022 222 likes •422 views

A Gentle Introduction A Gentle Introduction to Bilateral Filtering to Bilateral Filtering and its Applications and its Applications Sylvain Paris MIT CSAIL Pierre Kornprobst INRIA Odysse Jack Tumblin Northwestern University

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A Gentle Introduction to Bilateral Filtering and its Applications A Gentle Introduction to Bilateral Filtering and its Applications

Sylvain Paris – MIT CSAIL Pierre Kornprobst – INRIA Odyssée Jack Tumblin – Northwestern University Frédo Durand – MIT CSAIL

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The bilateral filter is becoming in

computational photography.

Many applications with high quality results.

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Photographic Style Transfer

[Bae 06]

Photographic Style Transfer

[Bae 06]

input

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Photographic Style Transfer

[Bae 06]

Photographic Style Transfer

[Bae 06]

utput

SLIDE 5

Tone Mapping

[Durand 02]

Tone Mapping

[Durand 02]

HDR input

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Tone Mapping

[Durand 02]

Tone Mapping

[Durand 02]

utput

SLIDE 7

input

Cartoon Rendition

[Winnemöller 06]

Cartoon Rendition

[Winnemöller 06]

SLIDE 8

Cartoon Rendition

[Winnemöller 06]

Cartoon Rendition

[Winnemöller 06]

utput

6 papers at SIGGRAPH’07 6 papers at SIGGRAPH’07

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Goal: Image Smoothing Goal: Image Smoothing

Split an image into:

large-scale features, structure
small-scale features, texture

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input smoothed (structure, large scale) residual (texture, small scale)

Gaussian Convolution

BLUR HALOS

Naïve Approach: Gaussian Blur Naïve Approach: Gaussian Blur

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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)

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input smoothed (structure, large scale) residual (texture, small scale)

edge-preserving: Bilateral Filter

Bilateral Filter: no Blur, no Halos Bilateral Filter: no Blur, no Halos

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input

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increasing texture with Gaussian convolution

H A L O S

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increasing texture with bilateral filter

N O H A L O S

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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

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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

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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

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A Gentle Introduction to Bilateral Filtering and its Applications 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