Image ascending frequency system and training method and image ascending frequency method thereof
A training method and image technology, which is applied in the directions of image communication, image data processing, image image conversion, etc., can solve problems such as large amount of calculation and inability to flexibly adjust the upscaling multiple, and achieve reduction in number, reduction of input signal volume, and simplification of upscaling. The effect of frequency calculation
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[0044] Convolutional neural network is a kind of artificial neural network, which has become a research hotspot in the field of speech analysis and image recognition. Its weight sharing network structure makes it more similar to biological neural networks, reducing the complexity of the network model and reducing the number of weights. This advantage is more obvious when the input of the network is a multi-dimensional image, so that the image can be directly used as the input of the network, avoiding the complicated feature extraction and data reconstruction process in the traditional recognition algorithm. The convolutional network is a multi-layer perceptron specially designed to recognize two-dimensional shapes. This network structure is highly invariant to translation, scaling, tilting, or other forms of deformation.
[0045] Based on the fact that the convolutional neural network does not deform the two-dimensional shape, that is, the height of the image, the present inve...
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