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2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2
Direct Super-Resolution and Registration Using Raw CFA Images
Washington, D.C., USA
June 27-July 02
ISBN: 0-7695-2158-4
ASCII Text
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Tomomasa Gotoh, Masatoshi Okutomi, "Direct Super-Resolution and Registration Using Raw CFA Images," Computer Vision and Pattern Recognition, IEEE Computer Society Conference on, vol. 2, pp. 600-607, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2, 2004.
 
 
BibTex
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@article{ 10.1109/CVPR.2004.83,
author = {Tomomasa Gotoh and Masatoshi Okutomi},
title = {Direct Super-Resolution and Registration Using Raw CFA Images},
journal ={Computer Vision and Pattern Recognition, IEEE Computer Society Conference on},
volume = {2},
year = {2004},
issn = {1063-6919},
pages = {600-607},
doi = {http://doi.ieeecomputersociety.org/10.1109/CVPR.2004.83},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
TI - Direct Super-Resolution and Registration Using Raw CFA Images
SN - 1063-6919
SP600
EP607
A1 - Tomomasa Gotoh,
A1 - Masatoshi Okutomi,
PY - 2004
KW - null
VL - 2
JA - Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
ER -
 
Tomomasa Gotoh, Tokyo Institute of Technology
Masatoshi Okutomi, Tokyo Institute of Technology

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.

Citation:
Tomomasa Gotoh, Masatoshi Okutomi, "Direct Super-Resolution and Registration Using Raw CFA Images," cvpr, vol. 2, pp.600-607, 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) - Volume 2, 2004
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