Dynamic linear threshold attenuation linking synaptic computing network (DLSCN) is proposed. The attenuation rate of neural threshold determines the propagation rate of the gamma band. DLSCN employs clustering to segment the external input stimuli of neurons in intensity. Different attenuation rates are set in different intensity stimulus regions to control the propagation rate of the gamma band. Therefore, the ignition timing of neurons can be delayed or advanced so as to obtain the expected distribution of linking synaptic. The intensity distribution of the output image of the network is more consistent with the characteristics of the human visual system. Experiments on four public datasets show that DLSCN achieves good results in enhancing image contrast and boosting image details.
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