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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Vydané v:	IEEE transactions on image processing Ročník 29; s. 1
Hlavní autori:	Xiang, Xinguang, Wei, Hao, Pan, Jinshan
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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