Demosaicing by Smoothing Along 1d Features
Abstract
Most digital cameras capture color pictures in the form of an image mosaic, \nrecording only one color channel at each pixel position. Therefore, an \ninterpolation algorithm needs to be applied to reconstruct the missing color \ninformation. In this paper we present a novel Bayer pattern demosaicing \napproach, employing stochastic global optimization performed on a pixel \nneighborhood. We are minimizing a newly developed cost function that increases \nsmoothness along one-dimensional image features. While previous algorithms have \nbeen developed focusing on LDR images only, our optimization scheme and the \nunderlying cost function are designed to handle both LDR and HDR images, \ncreating less demosaicing artifacts, compared to previous approaches.
Cite
Text
Ajdin et al. "Demosaicing by Smoothing Along 1d Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008. doi:10.1109/CVPR.2008.4587653Markdown
[Ajdin et al. "Demosaicing by Smoothing Along 1d Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2008.](https://mlanthology.org/cvpr/2008/ajdin2008cvpr-demosaicing/) doi:10.1109/CVPR.2008.4587653BibTeX
@inproceedings{ajdin2008cvpr-demosaicing,
title = {{Demosaicing by Smoothing Along 1d Features}},
author = {Ajdin, Boris and Hullin, Matthias B. and Fuchs, Christian and Seidel, Hans-Peter and Lensch, Hendrik P. A.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2008},
doi = {10.1109/CVPR.2008.4587653},
url = {https://mlanthology.org/cvpr/2008/ajdin2008cvpr-demosaicing/}
}