Linking synaptic computation for image enhancement

Linking synaptic computation for image enhancement

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.
% http://dx.doi.org/10.1016/j.neucom.2017.01.031
If you use these codes, please cite the following paper:
@Article{NEUCOMLSCN2017,
author = {K. Zhan, J. Shi, J. Teng, Q. Li, M. Wang, F. Lu},
title = {Linking Synaptic Computation for Image Enhancement },
journal = {Neurocomputing},
year = {2017},
volume = {238},
pages = {1-12}
}
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