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Linking synaptic computation for image enhancement
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DOI：10.1016/j.neucom.2017.01.031.png)
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摘要
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Linking synaptic computation network is proposed. The linking synapse is introduced into the neural network inspired by the gamma band oscillations in visual cortical neurons, and the neural network is applied to image representation. The linking synaptic mechanism of the network allows integrating temporal and spatial information. An image is input to the network and the enhanced result is obtained by the final linking synaptic state. The visual performance of the results boosts the details while preserving the information in the input image. The effectiveness of the method has been borne out by five quantitative metrics as well as qualitative comparisons with other methods. (C) 2017 Elsevier B.V. All rights reserved.
Keyword:
Image enhancement
Neural networks
PCNN
LSCN
Synaptic computation
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期刊
IF:
6.5
论文数:
2.5W
被引数:
6.5W
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