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Advanced Tone Mapping Techniques for Photography: Enhancing Dynamic Range

In dynamic range photography, some images exceed what can be displayed effectively on slides. This guide delves into tone mapping methods, focusing on coarse and fine layers to optimize image detail in both bright and dark regions. It explores input parameters such as Sharpening and the nuances of combining coarse and fine tone mapping outputs. While techniques like bilateral filtering are covered, it also critically evaluates their effectiveness and sensitivity to parameters. Discover better alternatives for achieving superior tone mapping results in your photographic work.

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Advanced Tone Mapping Techniques for Photography: Enhancing Dynamic Range

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  1. CS448f: Image Processing For Photography and Vision Tone Mapping

  2. So far

  3. So far

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

  5. Recall Sharpening Input = Coarse + Fine

  6. Tone Mapping Input = Coarse + Fine

  7. Tone Mapping Output = Coarse + Fine

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

  9. Tone Mapping Input = Coarse x Fine

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

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

  12. How should we make the coarse layer?

  13. Input

  14. Coarse

  15. Fine

  16. Input

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

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

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

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

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