The invention discloses a zoom image generation method combining block matching and a neural network. The method comprises steps of respectively shooting the same shooting scene or object under the same optical axis by using a telephoto lens and a short-focus lens of the bifocal camera at the same moment to obtain a telephoto image and a short-focus image; establishing a Unet neural network structure, wherein the Unet neural network structure comprises a convolution part and a deconvolution part; inputting the long-focus image and the short-focus image into the convolution part for image feature extraction, and therefore high-frequency detail feature structures of the long-focus image and the short-focus image are obtained; matching and fusing the high-frequency detail feature structures of the long-focus image and the short-focus image by adopting a block matching algorithm to obtain a cascaded image; and inputting the cascaded image into a deconvolution part of the Unet neural network structure for reconstruction to obtain a zoom image. Based on the requirement of continuous zooming of the digital image, the continuous zooming of the digital image at any multiplying power is realized through the structures of image cutting and image deconvolution.