Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion

In this paper, we propose a novel deep convolutional neural network to solve the general multi-modal image restoration (MIR) and multi-modal image fusion (MIF) problems. Different from other methods based on deep learning, our network architecture is designed by drawing inspirations from a new propo...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on pattern analysis and machine intelligence Ročník 43; číslo 10; s. 3333 - 3348
Hlavní autoři:	Deng, Xin, Dragotti, Pier Luigi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.10.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Artificial neural networks Coding Computer architecture Computer vision Convolutional codes Convolutional neural networks Feature extraction Image coding Image fusion Image processing Image reconstruction Image resolution Image restoration Machine learning Modules multi-modal convolutional sparse coding Multi-modal image restoration Neural networks Task analysis
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!