Image super-resolution reconstruction method based on back-propagation neural network
A super-resolution reconstruction, neural network technology, applied in image enhancement, image data processing, graphics and image conversion, etc., can solve problems such as low image resolution
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[0044] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be further described in detail below in conjunction with the drawings and specific embodiments.
[0045] figure 1 It is a system flowchart of an image super-resolution reconstruction method based on a backpropagation neural network in the present invention. It mainly includes image input; preprocessing; image denoising; maintaining image edges; backpropagation neural network.
[0046] Wherein, in the image input, remote sensing images obtained by synthetic aperture radar are selected as input data; remote sensing images are images of targets on the ground, including features obtained from different angles and heights; synthetic aperture radar images are full of multiplicative spots Noise, and limited by the imaging device, the resolution is low.
[0047] Among them, in the prepro...
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