Parameterfree Information-Preserving Surface Restoration
نویسنده
چکیده
In this paper we present an algorithm for parameterfree information-preserving surface restoration. The algorithm is designed for 2.5D and 3D surfaces. The basic idea is to extract noise and signal properties of the data simultaneously by variance-component estimation and use this information for ltering. The variance-component estimation delivers information on how to weigh the innuence of the data dependent term and the stabilizing term in regularization techniques, and therefore no parameter which controls this relation has to be set by the user.
منابع مشابه
Parameterfree Information-preserving Surface Restoration
In this paper we present an algorithm for parameterfree information-preserving surface restoration. The algorithm is designed for 2.5D and 3D surfaces. The basic idea is to extract noise and signal properties of the data simultaneously by variance-component estimation and use this information for ltering. The variance-component estimation delivers information on how to weigh the innuence of the...
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تاریخ انتشار 1994