Reply to comment

Hi

I successfully applied CIECAM02 to a RAW imaging workflow. The main problem was to identify the adopted white from scene colorimerty as an input to CIECAM02. I ended up using the cameras white balance for ease in order to complete the experiment. The scene illumination was calculated from ISO and Exposure and gave favorable results. The main part of the process was to characterise the camera using a double monochromator and calculate the cameras spectral response. This was then used to determine the device RGB to XYZ matrix by reducing errors in JMH space for different values of La and white point.

The resulting matrices were used to transform RAW RGB to XYZ according to scene white and La and then passed through CIECAM02.
The internal coordinates used were JMH and output to standard sRGB viewing conditions through the reverse CIECAM02.

I got some pretty good results, (although maybe not appearance perfect) compared to the sRGB JPEG produced by the Nikon D70s.

DCRAW and Matlab used for computation.

Reply

The content of this field is kept private and will not be shown publicly.
  • Web page addresses and e-mail addresses turn into links automatically.
  • Allowed HTML tags: <a> <em> <strong> <cite> <code> <ul> <ol> <li> <dl> <dt> <dd>
  • Lines and paragraphs break automatically.
  • You can enable syntax highlighting of source code with the following tags: <code>, <blockcode>, <c>, <cpp>, <drupal5>, <drupal6>, <java>, <javascript>, <php>, <python>, <ruby>. The supported tag styles are: <foo>, [foo].
  • Images can be added to this post.

More information about formatting options

By submitting this form, you accept the Mollom privacy policy.