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CS448f: Image Processing For Photography and Vision CS448f: Image Processing For Photography and Vision

CS448f: Image Processing For Photography and Vision - PowerPoint Presentation

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Uploaded On 2018-09-21

CS448f: Image Processing For Photography and Vision - PPT Presentation

Tone Mapping So far So far Tone Mapping Some Images have too much dynamic range to display on a slide belgiumhdr Recall Sharpening Input Coarse Fine Tone Mapping Input ID: 674005

coarse log tone fine log coarse fine tone mapping input detail exp output regions

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Presentation Transcript

Slide1

CS448f: Image Processing For Photography and Vision

Tone MappingSlide2

So farSlide3

So farSlide4

Tone Mapping

Some Images have too much dynamic range to display on a slide:

(belgium.hdr)Slide5

Recall Sharpening

Input

=

Coarse +

FineSlide6

Tone Mapping

Input

=

Coarse +

FineSlide7

Tone Mapping

Output

=

Coarse

+

FineSlide8

Tone Mapping

Output

=

Coarse

+

Fine

Tons of strong detail in the bright regions, not enough in the dark regionsSlide9

Tone Mapping

Input

=

Coarse

x

FineSlide10

Tone Mapping

Log(Input)

=

Log(Coarse)

+

Log(Fine)Slide11

Tone Mapping

Log(Output)

=

Log(Coarse)

+

Log(Fine)Slide12

How should we make the coarse layer?Slide13

InputSlide14

CoarseSlide15

FineSlide16

InputSlide17

Exp(Log(Coarse)*0.7 + Log(Detail))Slide18

Exp(Log(Coarse)*0.5 + Log(Detail))Slide19

Exp(Log(Coarse)*0.3 + Log(Detail))Slide20

Conclusion:

You can use a bilateral for tonemapping

It’s highly parameter-sensitive

Results aren’t great

What’s better?

Not much.