Take a low-resolution, pixellated, and noisy image and run it through an upscaler to get something you can print, use as a desktop background, or share with friends in better quality. You can use AI upscaling tools that run both locally on your computer or run in the cloud. Matching the upscaling technique to the source image or video can drastically alter results. These techniques have come a long way, but they’re still far from perfect. AI is “trained” to recognize certain features like faces, clouds, grass, or trees so that predictions can be made about what a higher quality version of the image should look like. Modern techniques use artificial intelligence (AI) to add a superior level of detail. Older upscaling techniques simply involve “stretching” the image by duplicating pixels, or using dithering. Upscaling involves adding missing pixels to an image, and the technique itself is nothing new. ![]() ![]() ![]() This is done by enlarging the resolution, for example going from an HD (1920×1080) source to a 4K upscale (3840×2160). Upscaling simply means increasing the size of an image or video. Machine learning can intelligently enhance your still and moving images, with both free and paid tools available that run natively and in the cloud. Turn your blurry old photos and videos into high-resolution masterpieces with the power of artificial intelligence.
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