One toolkit.
Your choice.
A Swiss Army knife for image resampling.
Classic filters. GPU speed. You choose the method.
Works in Premiere Pro and DaVinci Resolve, plus After Effects. Resolve setup: included Fusion macro ↗
Different filters. Different results.
Classic resampling methods familiar from scientific imaging.
From Bilinear and B-Spline to Mitchell, Lanczos and Kaiser.
Pixel art has
options, too.
Compare Nearest, Scale2x, Eagle and FSR 1 EASU on the same pixel artwork. Choose a method on each side and drag to explore the edges.
Downscaling is part of the toolkit.
Explore how Bilinear and Area handle a reduction.
The right choice depends on the image and the task.
The finishing touch. Your amount.
Compare sharpening off, RCAS and Unsharp Mask after the same resize. Choose 50% or 100% on either side. Sharpening changes local contrast; judge the texture and edges together.
Stair-step scaling. In either direction.
A whole resize sequence. One Iterations control. Stair-step scaling — also called incremental resizing — breaks an upscale or downsample into smaller steps. Explore up to 16 GPU-accelerated passes without stacking effects or scripting intermediate sizes.
Downsample
Reduce in stages · Bilinear · 1536 → 256 px
Large reductions can turn fine lines and repeating patterns into aliasing or moiré. Try several smaller reductions and watch how those patterns change. This Bilinear example makes the difference visible; also compare a single-pass Area downsample in the filter demo above.
Stairstep upscale
Enlarge in stages · Lanczos 3 · 256 → 768 px
For HD to 4K upscaling or a larger enlargement, stairstep gives you another way to shape the result. Compare edge smoothness, ringing (halos) and fine texture: repeated filtering can soften detail as well as change contours. It does not recover detail missing from the source.
Judge the shot, not the pass count. Check at 100% output size and in motion at your delivery resolution. Extra local contrast can look sharper without adding detail, and some filters can build up halos over repeated passes. Keep the source, filter and working color space consistent when comparing. Then compare single-pass resizing with post-resize sharpening, too. These previews are scaled to fit your screen.
Resizing glitch effects.
Push Content Aware into expressive distortions. Sweep multipass from 1 to 16 and back while the output dimensions stay fixed. Let the image bend, stretch and shift.
Output: 384 × 512 → 192 × 512, displayed at the original width for comparison. Footage: Ron Lach / Pexels.
Choose the filter.
Build the process.
Multipass downscale. Reduce through intermediate sizes.
Stairstep upscale. Enlarge in progressive steps.
Post-sharpen. Finish with optional RCAS or Unsharp Mask.
Set the dimensions, choose a method and control the number of passes. Compare the result. No single filter suits every image.
Read the manual