[Studies in Computational Intelligence 481] Artur Babiarz, Robert Bieda, Karol Jędrasiak, Aleksander Nawrat (auth.), Aleksander Nawrat, Zygmunt Kuś (eds.) - Vision Based Systemsfor UAV Applications (2013, Sprin

144 A. Babiarz, R. Bieda, and K. Jaskot
image , corresponding to the input image’s pixel at the fractional coordinates
, can be found in two ways. First is to use a simple NN interpolation:
, , , (5)
which is very fast method, however some artefacts will be visible on the output
image, as shown on the Figure 4. Second method uses bilinear interpolation [15]:
,
,
,
,
(6)
,
,
where
This method gives results of better quality, however its performance very often
cannot be accepted. Results obtained with use of this method are shown on the
Figure 4(b). Fortunately, quality of corrected image obtained from NN interpolation
is sufficient. In case of color images, the above procedures have to be performed
for each color channel separately.
(7)
Fig. 4. Results of compensation of the radial distortion with NN (nearest neighbor) (a) and
compensation of the radial distortion with bilinear sampling of source image (b)