IMAGE PROCESSING METHOD, IMAGE PROCESSING APPARATUS, AND A NEURAL NETWORK TRAINING METHOD

摘要

A neural network training method, an image processing method, and an image processing apparatus for implementing image style transfer. The training method comprises: obtaining a first training input image and a second training input image (S10); inputting the first training input image to a neural network (S20); using the neural network to perform style transfer processing on the first training input image to obtain a training output image (S30); calculating a loss value of a parameter of the neural network by means of a loss function on the basis of the first training input image, the second training input image, and the training output image (S40); modifying the parameter of the neural network according to the loss value (S50); and when the loss value satisfies a preset condition, obtaining a trained neural network (S70), and when the loos value does not satisfy the preset condition, continuing to input the first training input image and the second training input image to repeat the training process above, wherein the loss function comprises a weight-to-bias ratio loss function.