Super-Resolution
Algorithms that enlarge an image while adding believable detail rather than just stretching pixels. Learning-based methods, popularized since 2014, restore sharp edges, hair and textures lost in low-resolution sources.
Spot it
- 01Crisp restored edges
- 02Invented fine texture
- 03Clean enlarged detail
Why it happens
A network trained on pairs of low and high resolution images learns to predict missing high-frequency detail from the small input, producing a larger, sharper output.
Recreate it in Pixio
Image edit prompt“Upscale this image to much higher resolution with super-resolution: crisp clean edges, restored fine textures like hair, fabric and skin pores, no blur, noise or jagged artifacts, natural detail without an over-sharpened or plastic look. Keep the original subject and composition.”
Open PixioUpload your image and pick an image-edit model.