Bayesian Super-Resolution image reconstruction using an l1 prior. Villena, S., Vega, M., Molina, R., & Katsaggelos, A. In 2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis, pages 152–157, sep, 2009. IEEE. ![Bayesian Super-Resolution image reconstruction using an l1 prior [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Abstract: This paper deals with the problem of high-resolution (HR) image reconstruction, from a set of degraded, undersampled, shifted and rotated images, under the Bayesian paradigm, utilizing a variational approximation. Bayesian methods rely on image models that encapsulate prior image knowledge and avoid the ill-posedness of the image restoration problems. In this paper a new prior based on the ℓ1 norm of vertical and horizontal first order differences of image pixel values is introduced and its parameters are estimated. The estimated HR images are compared with images provided by other HR reconstruction methods.
@inproceedings{Salvador2009a,
abstract = {Abstract: This paper deals with the problem of high-resolution (HR) image reconstruction, from a set of degraded, undersampled, shifted and rotated images, under the Bayesian paradigm, utilizing a variational approximation. Bayesian methods rely on image models that encapsulate prior image knowledge and avoid the ill-posedness of the image restoration problems. In this paper a new prior based on the ℓ1 norm of vertical and horizontal first order differences of image pixel values is introduced and its parameters are estimated. The estimated HR images are compared with images provided by other HR reconstruction methods.},
author = {Villena, Salvador and Vega, Miguel and Molina, Rafael and Katsaggelos, A.K.},
booktitle = {2009 Proceedings of 6th International Symposium on Image and Signal Processing and Analysis},
doi = {10.1109/ISPA.2009.5297740},
isbn = {978-953-184-135-1},
month = {sep},
pages = {152--157},
publisher = {IEEE},
title = {{Bayesian Super-Resolution image reconstruction using an l1 prior}},
url = {http://ieeexplore.ieee.org/document/5297740/},
year = {2009}
}
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