Deep learning based single frame super resolution microscopy image processing
Abstract:
The present application provides methods, devices, systems and non-transitory computer readable storage media for image processing. In an aspect, there is provided a computer-implemented method of image processing, the method comprising: receiving a low resolution image of an object; generating an edge map of the low resolution image by an edge extractor; and inputting the edge map and the low resolution image to a neural network to reconstruct a super resolution image of the object, wherein the neural network is trained using a multicomponent loss function.
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