Response Curve Database for HDR Imaging Applications - PowerPoint PPT Presentation

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Response Curve Database for HDR Imaging Applications

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Provide a web interface to collect response curves of different ... Convert a single LDR Image to a HDR Image if the Camera's Curve is ... NIKON D70s Curve ... – PowerPoint PPT presentation

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Title: Response Curve Database for HDR Imaging Applications


1
Response Curve Database for HDR Imaging
Applications
  • Insert Product Photograph Here

2
Overview
  • Provide a web interface to collect response
    curves of different cameras and use them to deal
    with High Dynamic Range Image Processing and
    Manipulation

3
Curve Recover
  • Use several images and the method described in
    Recovering high dynamic range radiance maps from
    photographs by Debevec 97 to recover the
    response curve.

4
Curve Recover contd
  • Interface

5
Curve Recover contd
  • Results

6
Applications for nowLDR-gtHDR
  • Convert a single LDR Image to a HDR Image if the
    Cameras Curve is in the Database

The image shown here is compressed to display on
the screen.
7
Applications HDR-gtLDR
  • Based on the HDR radiance map we created, we can
    apply another cameras response curve to convert
    the radiance map back to 8-bit or 16-bit LDR
    images and see the difference.

8
Applications HDR-gtLDR
  • FUJIFILM FinePix S5500 Curve

9
Applications HDR-gtLDR
  • RICOH GR Digital Curve

10
Applications HDR-gtLDR
  • NIKON D70s Curve

11
Specifications
  • Code Written in Python with PIL (Python Imaging
    Library) and NumPy
  • Apache 2.2.2 (Unix) mod_python 3.2.10 Running
    on my Laptop

12
Links
  • Current Status
  • http//lunastorm.dyndns.org8080/python/interface.
    py
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