The network image super-resolution reconstruction technology is realized based on the deep convolution neural network algorithm.In order to meet the needs of image super-resolution accuracy detection and construction,the image reconstruction framework is realized by constructing the image fusion technology,forming a control module with the robot vision system data as the main body,realizing the goal of image fusion analysis of network image super-resolution,and completing the deep convolution neural network image reconstruction.In the construction process of deep convolution neural network image,pay attention to the decision-making scheme of neural network output data and the design of adaptive preset module of image,analyze the number of nodes in each layer of deep convolution neural network,balance the amount of information loss in the process of deep convolution of image resolution data,and improve the reconstruction accuracy of image resolution data.
Key words
convolutional neural network /
image fusion /
data decision /
resolving power
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