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Exploring Tone Mapping Techniques for Enhanced Image Processing in Photography and Vision

This article delves into tone mapping methods crucial for displaying high dynamic range (HDR) images in photography and visual arts. It discusses the challenges of balancing fine details and dynamic range in bright and dark regions. Key techniques explored include coarse and fine tone mapping layers, the use of logarithmic transformations, and the application of bilateral filtering, highlighting that while bilateral filtering is parameter-sensitive, it may not yield superior results. The conclusions encourage the exploration of alternative methods for better image quality.

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Exploring Tone Mapping Techniques for Enhanced Image Processing in Photography and Vision

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Presentation Transcript

  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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