Detailed Characterization of Image Spatial Structure Information Based on Porous Convolutional Neural Network
Aiming at the problems of high detail characterization ambiguity and high information training loss in traditional image spatial structure information characterization methods,a new image spatial structure information characterization method based on porous convolutional neural network is proposed.This method measures the similarity of image spatial structure information details,encodes the image spatial structure information details based on the shape,color and texture features of the image,then removes the redundant information of the image,and uses the porous convolutional neural network to fuse the depth information of the image spatial structure information,thus completing the detailed characterization of the image spatial structure information.The experimental results show that the detailed characterizationmethod based on porous convolutional neural network is superior to the traditional three methods in terms of ambiguity,training loss and image similarity,and can clearly characterize the spatial structure information of image.
porous convolutional neural networkimage spatial structuredetail characterizationredundant informationdeep information fusion
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