Abb. INB-Logo

Tools + Demos


Zurück / back

Illumination Correction for Stitching Images

Sascha Klement, Fabian Timm, and Erhardt Barth

 

Here, we provide additional material concerning our submission "Illumination Correction for Stitching Images" for the ICPR 2010. The following table shows input images with different textures under varying lighting conditions and the results after illumination correction with the the three studied boundary conditions.

 

Remarks:

  • All input images were captured using a Baumer TXG14c camera (1392 x 1040 pixels)
  • We focused on the reduction of boundary artifacts when removing illumination inhomogeneities, not on a perfect stitching of the corrected images. So for tiling, the images were simply placed in a 3-by-3 matrix without any further processing. Thus, repetitive patterns are obvious even with polynomial regression, but they are not caused by illumination inhomogeneities.
  • With the replicate boundary condition dark areas at the image transitions are clearly visible. Linear extrapolation reduces these boundary artifact significantly. Polynomial Least-Squares Regression gives no further visible improvements but is mathematically the more stable method.
  • To get the full-resolution image, click on an image.

 

Input Image
Corrected and
Tiled Image
(Replicate Boundary)
Corrected and
Tiled Image
(Linear Extrapolation)
Corrected and
Tiled Image
(Polynomial
Least-Squares Regression)
  sample0.jpg
  sample0-replicate.jpg
  sample0-linear.jpg
  sample0-polynomial5by5.jpg
 sample1.jpg
  sample1-replicate.jpg
  sample1-linear.jpg
  sample1-polynomial5by5.jpg
 sample2.jpg
  sample2-replicate.jpg
  sample2-linear.jpg
  sample2-polynomial5by5.jpg
 sample3.jpg
  sample3-replicate.jpg
  sample3-linear.jpg
  sample3-polynomial5by5.jpg