Research on image enhancement method based on coupled neural network reaction diffusion model
With the rapid development of artificial intelligence technology,image processing has been widely used in the fields of transport,medical,agriculture and forestry,aerospace,etc.,and the requirements for image quality are getting higher and higher.For the image enhancement problem,the neural network model is used,and it is proposed to transform the FitzHugh-Nagumo reaction-diffusion model into a differential dynamics system,so as to improve the coupled neural network,introduce the adaptive threshold,and obtain the nonlinear dynamics model of the coupled neuron,using which the image contrast can be made to improve,and play a role in the enhancement of the image.The model is more widely applicable,the image contrast stretching effect is better,and the visual enhancement effect is more obvious.
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