Single-frame super-resolution microscope image processing based on deep learning

The invention provides an image processing method, device and system and a non-transitory computer readable storage medium. In one aspect, a computer-implemented image processing method is provided, the method comprising: receiving a low resolution image of an object; generating an edge map of the low-resolution image by an edge extractor; the edge map and the low-resolution image are input to a neural network to reconstruct a super-resolution image of the object, wherein the neural network is trained using a multi-component loss function. 本申请提供了用于图像处理的方法、装置、系统和非暂时性计算机可读存储介质。在一方面，提供了一种计算机实现的图像处理方法，该方法包括：接收对象的低分辨率图像；由边缘提取器生成该低分辨率图像的边缘图；将所述边缘图和低分辨率图像输入到神经网络以重建该对象的超分辨率图像，其中所述神经网络是使用多分量损失函数来训练的。