Image restoration system based on multilevel wavelet convolutional neural network
A convolutional neural network and convolutional neural technology, applied in the field of image restoration systems, can solve problems such as the inability to take into account image restoration quality and image restoration speed
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[0090] Embodiment: combine below Figure 1 to Figure 7 This embodiment will be described in detail.
[0091] refer to figure 1 , the image restoration system based on the multi-level wavelet convolutional neural network described in this embodiment includes a contraction sub-network and an expansion sub-network;
[0092] The contraction subnetwork includes an input encoder and a wavelet transformer. The input encoder includes M convolutional neural subnetworks. The wavelet transformer includes M wavelet transform layers. The wavelet transform layers and convolutional neural subnetworks are arranged alternately. The output of the former connected to the input of the latter;
[0093] The extended subnetwork includes an output decoder and a wavelet inverse transformer, the output decoder includes M deconvolutional neural subnetworks, the wavelet inverse transformer includes M wavelet inverse transform layers, and the deconvolutional neural subnetwork and wavelet inverse transfo...
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