CS448f: Image Processing For Photography and Vision Tone Mapping.

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Presentation transcript:

CS448f: Image Processing For Photography and Vision Tone Mapping

So far

Tone Mapping Some Images have too much dynamic range to display on a slide: (belgium.hdr)

Recall Sharpening Input = Coarse + Fine

Tone Mapping Input = Coarse + Fine

Tone Mapping Output = Coarse + Fine

Tone Mapping Output = Coarse + Fine Tons of strong detail in the bright regions, not enough in the dark regions

Tone Mapping Input = Coarse x Fine

Tone Mapping Log(Input) = Log(Coarse) + Log(Fine)

Tone Mapping Log(Output) = Log(Coarse) + Log(Fine)

How should we make the coarse layer?

Input

Coarse

Fine

Input

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

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

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

Conclusion: You can use a bilateral for tonemapping It’s highly parameter-sensitive Results aren’t great What’s better? – Not much.