Bayesian regularization restoration algorithm for photon counting images

The photon counting image collected under 10 − 4 lux environment has a degraded image quality due to background noises and other problems. Bayesian estimation is a classical approach for photon counting image restoration and regularization has also been widely used in image processing. However, the...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Jg. 51; H. 8; S. 5898 - 5911
Hauptverfasser:	Li, Ying, Yin, Liju, Wang, Zhenzhou, Pan, Jinfeng, Gao, Mingliang, Zou, Guofeng, Liu, Jiansi, Wang, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2021 Springer Nature B.V
Schlagworte:	Algorithms Artificial Intelligence Background noise Bayesian analysis Computer Science Error functions Image degradation Image processing Image quality Image restoration Iterative solution Machines Manufacturing Mechanical Engineering Noise Photons Probability distribution functions Processes Regularization Regularization methods Bayesian estimation Image restoration Multi-pixel photon counting detector Regularization Photon counting image
ISSN:	0924-669X, 1573-7497
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!