Super Resolution

Super Resolution is a technique in image processing where AI algorithms are employed to increase the resolution of an image. This involves generating high-resolution images from low-resolution inputs by predicting and adding pixel details that were not present in the original. Key methods include convolutional neural networks (CNNs) and generative adversarial networks (GANs), which learn to reconstruct high-frequency details lost during downsampling. The result is a sharper, more detailed image that appears as though it was captured with a higher-quality camera sensor.