Abstract
The application of two-dimensional (2-D) self-tuning smoothers/filters to images is discussed. In particular, the way in which 2-D self-tuners are set up is treated, together with practical tips on the effective use of the algorithms. Also presented are results which show the self-tuners at work on a set of typical noise-corrupted pictures.
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