The super-resolution algorithm based on the convolutional neural network has great advantages compared with the traditional super-resolution algorithms.But there are still some problems to be improved,such as long training time,lacking of image texture reconstruction and so on.Owing to this,on the basis of the original convolutional neural network super-resolution reconstruction algorithm,the following optimizations are carried out.The original rectified linear unit function is discarded and the new activat...
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