Infrared Image Denoising based on Simplified Pulse Coupled Neural Network
نویسندگان
چکیده
For the problem of being prone to result in image blur and losing of edge information, and according to the characteristics of ambiguous target and low contrast in the common infrared image preprocessing algorithm, a method of infrared image denoising by using simplified pulse coupled neural network was proposed in this paper. The improved selection of neuron joining strength which was relation to the neighborhood pixel gray value facilitated denoising. The computational method of threshold decaying exponent was simplified, which made it depend on the threshold amplitude and the optimal value of threshold amplitude can be obtained automatically. Experimental results showed that this method can improve the optimization efficiency of the parameters of pulse coupled neural network, not only could effectively filter out the noise, but also could maximally preserve image details.
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