Signal Extrapolation for Image and Video Error Concealment Using Gaussian Processes With Adaptive Nonstationary Kernels

In this letter, a new adaptive Gaussian process (GP) frame work for signal extrapolation is proposed. Signal extrapolation is an essential task in many applications such as concealment of corrupted data in image and video communications. While possessing many interesting properties, Gaussian process...

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Veröffentlicht in:	IEEE signal processing letters 2012-10, Vol.19 (10), p.700-703
Hauptverfasser:	Asheri, H., Rabiee, H. R., Rohban, M. H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive nonstationary kernel Bayesian inference Bayesian methods Euclidean distance Extrapolation Gaussian process Gaussian processes Image edge detection Image reconstruction Kernel multidirectional extrapolation
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