DMCA
Joint Demosaicing and Super-Resolution Imaging from a Set of Unregistered Aliased Images
| Citations: | 6 - 0 self |
BibTeX
@MISC{Vandewalle_jointdemosaicing,
author = {Patrick Vandewalle and Karim Krichane and David Alleysson and Sabine Süsstrunk},
title = {Joint Demosaicing and Super-Resolution Imaging from a Set of Unregistered Aliased Images},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
We present a new algorithm that performs demosaicing and super-resolution jointly from a set of raw images sampled with a color filter array. Such a combined approach allows us to compute the alignment parameters between the images on the raw camera data before interpolation artifacts are introduced. After image registration, a high resolution color image is reconstructed at once using the full set of images. For this, we use normalized convolution, an image interpolation method from a nonuniform set of samples. Our algorithm is tested and compared to other approaches in simulations and practical experiments.
Keyphrases
super-resolution imaging joint demosaicing color filter array combined approach image registration raw camera data alignment parameter high resolution color image new algorithm nonuniform set image interpolation method normalized convolution raw image interpolation artifact practical experiment full set
