An image processing device and an image processing method are disclosed. The image processing method comprises: acquiring an image; segmenting the acquired image by using a deep learning-based segmentation process to obtain a binarized image labeled with a region of interest; processing a pixel matrix of the acquired image by using a pixel matrix of the binarized image to obtain a segmented image; and performing super-resolution reconstruction on the segmented image by using a deep learning-based super-resolution neural network to obtain a reconstructed image.