Non-Local Multi-Focus Image Fusion With Recurrent Neural Networks

Non-Local Multi-Focus Image Fusion With Recurrent Neural Networks

Previous Convolutional Neural Networks (CNNs) based multi-focus image fusion methods rely primarily on local information of images. In this paper, we propose a novel deep network architecture for multi-focus image fusion that is based on a non-local image model. The motivation of this paper stems fr...

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Bibliographic Details
Main Authors: Zhao Duan, Taiping Zhang, Jin Tan, Xiaoliu Luo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Multi-focus image fusion
recurrent neural network
non-local self-similarity
texture information
Online Access:https://ieeexplore.ieee.org/document/9144551/

Internet

https://ieeexplore.ieee.org/document/9144551/

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