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HDR Deghosting: How to deal with saturation?

Publication ,  Journal Article
Hu, J; Gallo, O; Pulli, K; Sun, X
Published in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
November 15, 2013

We present a novel method for aligning images in an HDR (high-dynamic-range) image stack to produce a new exposure stack where all the images are aligned and appear as if they were taken simultaneously, even in the case of highly dynamic scenes. Our method produces plausible results even where the image used as a reference is either too dark or bright to allow for an accurate registration. © 2013 IEEE.

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Published In

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

DOI

ISSN

1063-6919

Publication Date

November 15, 2013

Start / End Page

1163 / 1170
 

Citation

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Hu, J., Gallo, O., Pulli, K., & Sun, X. (2013). HDR Deghosting: How to deal with saturation? Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1163–1170. https://doi.org/10.1109/CVPR.2013.154
Hu, J., O. Gallo, K. Pulli, and X. Sun. “HDR Deghosting: How to deal with saturation?Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, November 15, 2013, 1163–70. https://doi.org/10.1109/CVPR.2013.154.
Hu J, Gallo O, Pulli K, Sun X. HDR Deghosting: How to deal with saturation? Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2013 Nov 15;1163–70.
Hu, J., et al. “HDR Deghosting: How to deal with saturation?Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Nov. 2013, pp. 1163–70. Scopus, doi:10.1109/CVPR.2013.154.
Hu J, Gallo O, Pulli K, Sun X. HDR Deghosting: How to deal with saturation? Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 2013 Nov 15;1163–1170.

Published In

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

DOI

ISSN

1063-6919

Publication Date

November 15, 2013

Start / End Page

1163 / 1170