Adaptive dithering adjusts its behaviour locally to the image content: it sharpens edges and keeps flat areas smooth, so you get the best of both worlds in a single pass. Unlike fixed-kernel methods such as Floyd–Steinberg or Stucki, it analyses each region and applies stronger diffusion where detail matters and gentler diffusion where gradients are smooth. That makes it a strong choice for mixed-content images—for example photos that include text, logos, or technical drawings—and for materials like granite or detailed wood where you want clean edges without losing tonal quality. It runs at medium speed and is well worth trying when your image has both soft and hard elements.
Description
Smartly looks at your image edges. It makes sharp parts sharper and soft parts smoother, adapting as it goes.
Best For
Images with mixed soft and hard edges.
Visual Look
Content-aware sharpness.
Recommended Materials
Granite, Mixed Media, Detailed Wood.
Processing Speed
Medium
Pro Tips
Content-aware algorithm that adapts to image content. Makes sharp edges sharper and soft areas smoother. Excellent for images with mixed content. Works well at 254-300 DPI. Best for complex images with both text and photos. More intelligent than standard error diffusion.