Deep Video Deblurring Using Sharpness Features from Exemplars

Video deblurring is a challenging problem as the blur in videos is usually caused by camera shake, object motion, depth variation, etc. Existing methods usually impose handcrafted image priors or use end-to-end trainable networks to solve this problem. However, using image priors usually leads to hi...

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Veröffentlicht in:	IEEE transactions on image processing Jg. 29; S. 1
Hauptverfasser:	Xiang, Xinguang, Wei, Hao, Pan, Jinshan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Coders Decoding Estimation exemplars Feature extraction Image restoration Kernel Learning systems Object motion optical flow Optical flow (image analysis) Optical imaging sharp feature fusion Sharpness Video deblurring
ISSN:	1057-7149, 1941-0042, 1941-0042
Online-Zugang:	Volltext
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