Abstract:
:Our aim is to propose an efficient algorithm for enhancing the contrast of dark images based on the principle of stochastic resonance in a global feedback spiking network of integrate-and-fire neurons. By linear approximation and direct simulation, we disclose the dependence of the peak signal-to-noise ratio on the spiking threshold and the feedback coupling strength. Based on this theoretical analysis, we then develop a dynamical system algorithm for enhancing dark images. In the new algorithm, an explicit formula is given on how to choose a suitable spiking threshold for the images to be enhanced, and a more effective quantifying index, the variance of image, is used to replace the commonly used measure. Numerical tests verify the efficiency of the new algorithm. The investigation provides a good example for the application of stochastic resonance, and it might be useful for explaining the biophysical mechanism behind visual perception.
journal_name
Front Comput Neuroscijournal_title
Frontiers in computational neuroscienceauthors
Fu Y,Kang Y,Chen Gdoi
10.3389/fncom.2020.00024subject
Has Abstractpub_date
2020-05-15 00:00:00pages
24issn
1662-5188journal_volume
14pub_type
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