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"To upscale an image without losing quality, we use deep convolutional neural networks. You could say it’s like a brain, but a computer one. These networks are trained on big datasets of images, so they learn the basic properties of all kinds of images. For example, if the computer sees a low-resolution picture of a brick wall, it will know what the texture of brick looks like and will fill in the details of the brick wall. This way, the image becomes more realistic. Before machine learning and artificial intelligence, when you wanted a bigger image, you needed to repeat pixels 2 or more times to make the image bigger – but you’d still end up with a blocky-looking and blurry image."
<https://zyro.com/ca/tools/image-upscaler?fbclid=IwAR0OX7bdkIYQLfwvuIcyuqhVWJWzq8ya3X5KLVGrDKs6aWnwwgtqky9amIw>