ML Anthology

Direct Super-Resolution and Registration Using Raw CFA Images

Tomomasa Gotoh, Masatoshi Okutomi
CVPR 2004 pp. 600-607
doi:10.1109/CVPR.2004.83 /cvpr/2004/gotoh2004cvpr-direct/

Abstract

Super-resolution has been applied mainly to grayscale images, but producing a high-resolution color image using a single CCD sensor has not been investigated in detail until recently. This work aims at producing a high-resolution color image directly from raw "color mosaic" images obtained by a single CCD equipped with a color filter array. This method is based on a generalized formulation of super-resolution that simultaneously performs both resolution enhancement and demosaicing. The other key factor of our topic is a precise sub-pixel registration of multiple raw images. We examined direct registration of raw images based on an imaging model, which shows precise estimation of motion among severely aliased raw images. The proposed method is verified through experiments using synthetic and real images.

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Cite

Text

Gotoh and Okutomi. "Direct Super-Resolution and Registration Using Raw CFA Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.83

Markdown

[Gotoh and Okutomi. "Direct Super-Resolution and Registration Using Raw CFA Images." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/gotoh2004cvpr-direct/) doi:10.1109/CVPR.2004.83

BibTeX

@inproceedings{gotoh2004cvpr-direct,
  title     = {{Direct Super-Resolution and Registration Using Raw CFA Images}},
  author    = {Gotoh, Tomomasa and Okutomi, Masatoshi},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {600-607},
  doi       = {10.1109/CVPR.2004.83},
  url       = {https://mlanthology.org/cvpr/2004/gotoh2004cvpr-direct/}
}