@inproceedings{choi1993multichannel,
abstract = {Restoration of image sequences is an important problem that can be encountered in many image processing applications, such as visual communications, robot guidance, and target tracking. The independent restoration of each frame in an image sequence is a suboptimal approach because the between-frame correlations are not explicitly taken into consideration. In this paper we address this problem by proposing a multichannel restoration approach. The multiple time-frames (channels) of the image sequence are restored simultaneously by using a multichannel regularized least-squares formulation of the problem. The regularization operator captures both within- and between-frame (channel) properties of the image sequence with the explicit use of the displacement vector field. We propose a number of different approaches to obtain the multichannel regularization operator, as well as an algorithm to iteratively compute the restored images. We present experiments that demonstrate the value of the proposed multichannel approach. {\textcopyright} 1996 Academic Press, Inc.},
author = {Choi, Mun Gi and Erdogan, Ozan E. and Galatsanos, Nikolas P. and Katsaggelos, Aggelos K.},
booktitle = {Journal of Visual Communication and Image Representation},
doi = {10.1117/12.157908},
editor = {Haskell, Barry G. and Hang, Hsueh-Ming},
issn = {10473203},
month = {oct},
number = {3},
organization = {SPIE INTERNATIONAL SOCIETY FOR OPTICAL},
pages = {1486--1497},
title = {{Multichannel regularized iterative restoration of image sequences}},
url = {https://linkinghub.elsevier.com/retrieve/pii/S104732039690022X http://proceedings.spiedigitallibrary.org/proceeding.aspx?articleid=946456},
volume = {7},
year = {1993}
}

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The regularization operator captures both within- and between-frame (channel) properties of the image sequence with the explicit use of the displacement vector field. We propose a number of different approaches to obtain the multichannel regularization operator, as well as an algorithm to iteratively compute the restored images. 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