Dust removal and noise reduction neural network method for monitoring image under mine
A technology of neural network and neural network model, which is applied in the field of neural network for dust removal and noise reduction of underground monitoring images, can solve the problems of inability to remove dust and noise of monitoring images, and low definition of monitoring images, and achieve good portability and real-time performance, reduce model complexity, and reduce the effect of model parameters
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[0017] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0018] Its model is as figure 1 As shown, it includes three VGG modules and a 1×1 convolutional layer, where each VGG module includes a convolutional layer and a pooling layer, and the convolutional layer and the pooling layer are sequentially from the input layer to the 1×1 Convolutional output layer permutations. According to the direction from input to output, the VGG modules are named as VGG module 1, VGG module 2 and VGG module 3.
[0019] The specific implementation plan is as follows:
[0020] Step 1: Design the specific parameters of the neural network model. The present invention mainly adopts VGG module to carry out model design, and each VGG module includes a convolutional layer and a pooling layer, and to different VGG modules, specific parameters are as follows:
[0021] (1) In VGG module 1, the shape of the convolutional layer is 64×3×11×11,...
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