Restoration of single-channel images with multi-channel filtering in the wavelet domain. Banham, M., Galatsanos, N., Katsaggelos, A., & Gonzalez, H. In [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics, volume 1992-Janua, pages 1558–1563, 1992. IEEE. Paper doi abstract bibtex In this paper, we develop a multichannel formulation of a single channel filtering problem in the wavelet domain. This technique is based on an orthogonal matrix representation of the 2-D separable wavelet transform. We show that semi-block circulant (SBC) structures resulting from a similarity transformation with this matrix operator permit a multichannel treatment of a noisy blurred image, yielding an adaptive restoration technique in the wavelet frequency domain. This work presents a new formulation of the 2-D separable wavelet decomposition that clearly produces matrices which may be block-diagonalized with an array Fourier transform. The method described here is a new tool, which builds on multichannel image restoration techniques developed in the past, but uses these ideas in the context of a single channel image, and offers much potential for improved adaptive image restoration in the wavelet domain.
@inproceedings{Banham1992,
abstract = {In this paper, we develop a multichannel formulation of a single channel filtering problem in the wavelet domain. This technique is based on an orthogonal matrix representation of the 2-D separable wavelet transform. We show that semi-block circulant (SBC) structures resulting from a similarity transformation with this matrix operator permit a multichannel treatment of a noisy blurred image, yielding an adaptive restoration technique in the wavelet frequency domain. This work presents a new formulation of the 2-D separable wavelet decomposition that clearly produces matrices which may be block-diagonalized with an array Fourier transform. The method described here is a new tool, which builds on multichannel image restoration techniques developed in the past, but uses these ideas in the context of a single channel image, and offers much potential for improved adaptive image restoration in the wavelet domain.},
author = {Banham, M.R. and Galatsanos, N.P. and Katsaggelos, A.K. and Gonzalez, Hector},
booktitle = {[Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics},
doi = {10.1109/ICSMC.1992.271518},
isbn = {0-7803-0720-8},
issn = {1062922X},
pages = {1558--1563},
publisher = {IEEE},
title = {{Restoration of single-channel images with multi-channel filtering in the wavelet domain}},
url = {http://ieeexplore.ieee.org/document/271518/},
volume = {1992-Janua},
year = {1992}
}
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