Image Upscaling
The process of increasing an image's pixel dimensions beyond its original resolution using interpolation or AI-based super-resolution.
Image upscaling generates a higher-resolution version of a source image by creating pixels that did not exist in the original. Quality depends heavily on the interpolation method: nearest-neighbor produces blocky artifacts, while bicubic yields smoother but often blurry results.
Deep learning-based super-resolution models like ESRGAN and Real-ESRGAN have transformed upscaling by reconstructing sharp detail at 2x-4x magnification using learned texture priors. These models recover fine details that traditional interpolation cannot synthesize.
Applications include preparing low-resolution images for print, remastering legacy photographs, and enhancing surveillance footage. The image upscaling tool applies AI models directly in the browser for high-quality enlargement.