Image Super-Resolution

Image super-resolution is currently a research hotspot worldwide, primarily focusing on enhancing the resolution of optical images. This technique typically involves deep learning algorithms such as SRCNN (Super-Resolution Convolutional Neural Network) and GAN-based approaches to reconstruct high-frequency details from low-resolution inputs.