Abstract
In this survey we review recent developments concerning the efficient iterative regularization of image reconstruction problems in atmospheric imaging. We present a number of preconditioners for the minimization of the corresponding Tikhonov functional, and discuss the alternative of terminating the iteration early, rather than adding a stabilizing term in the Tikhonov functional. The methods are examplified for a (synthetic) model problem.
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Hanke, M. (2000). Iterative Regularization Techniques in Image Reconstruction. In: Colton, D., Engl, H.W., Louis, A.K., McLaughlin, J.R., Rundell, W. (eds) Surveys on Solution Methods for Inverse Problems. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6296-5_3
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DOI: https://doi.org/10.1007/978-3-7091-6296-5_3
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-83470-1
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