Simultaneous multichannel image restoration and estimation of the regularization parameters. Moon Gi Kang, Katsaggelos, A. K. A., Kang, M. G., & Katsaggelos, A. K. A. IEEE Transactions on Image Processing, 6(5):774–778, IEEE, may, 1997. ![Simultaneous multichannel image restoration and estimation of the regularization parameters [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex In this correspondence, a constrained least-squares multichannel image restoration approach is proposed, in which no prior knowledge of the noise variance at each channel or the degree of smoothness of the original image is required. The regularization functional for each channel is determined by incorporating both within-channel and cross-channel information. It is shown that the proposed smoothing functional has a global minimizer. © 1997 IEEE.
@article{kang1997simultaneous,
abstract = {In this correspondence, a constrained least-squares multichannel image restoration approach is proposed, in which no prior knowledge of the noise variance at each channel or the degree of smoothness of the original image is required. The regularization functional for each channel is determined by incorporating both within-channel and cross-channel information. It is shown that the proposed smoothing functional has a global minimizer. {\textcopyright} 1997 IEEE.},
author = {{Moon Gi Kang} and Katsaggelos, Aggelos K. A.K. and Kang, Moon Gi and Katsaggelos, Aggelos K. A.K.},
doi = {10.1109/83.568936},
issn = {1057-7149},
journal = {IEEE Transactions on Image Processing},
month = {may},
number = {5},
pages = {774--778},
publisher = {IEEE},
title = {{Simultaneous multichannel image restoration and estimation of the regularization parameters}},
url = {https://ieeexplore.ieee.org/document/568936/},
volume = {6},
year = {1997}
}
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