On Bayesian Adaptive Video Super Resolution

Although multiframe super resolution has been extensively studied in past decades, super resolving real-world video sequences still remains challenging. In existing systems, either the motion models are oversimplified or important factors such as blur kernel and noise level are assumed to be known....

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on pattern analysis and machine intelligence 2014-02, Vol.36 (2), p.346-360
Hauptverfasser:	Liu, Ce, Sun, Deqing
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms aliasing Applied sciences Artificial Intelligence Bayes Theorem blur kernel Computer science control theory systems Computer vision Exact sciences and technology Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image motion analysis Image reconstruction Image resolution Kernel Noise Noise level optical flow Pattern Recognition, Automated - methods Pattern recognition. Digital image processing. Computational geometry Photography - methods Reproducibility of Results Sensitivity and Specificity Super resolution Video Recording - methods
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!