Scanner Artifacts Fixed — Moiré, Dust, and All

Scans carry problems cameras never produce: halftone moiré, glass dust, uneven exposure bands. Clean them automatically.

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Ripples gone, detail kept

Moiré removal rewards zooming in: the rainbow ripples vanish without softening the halftone texture they originated from, because the interference pattern occupies different frequency space than the underlying image detail. Dust specks lift similarly cleanly — isolated outliers surrounded by consistent context are the easiest correction problem enhancement ever faces.

Before and after example of removing moiré and dust from a scanned photo

BeforeAfter

Before and after example of removing moiré and dust from a scanned photo

Three artifacts only scanners produce

First, moiré: the halftone-grid interference explained above — visible as rainbow banding that shifts as you tilt the screen. Second, dust: every speck on scanner glass between lamp and print photographs itself into your archive at full contrast. Third, exposure banding: aging scanner lamps and calibration drift leave faint horizontal brightness steps across long scans.

None exist in the original print; all exist in your digitized copy. That distinction matters because each has a precise algorithmic signature — periodic interference, isolated outliers, low-frequency gradients — making them far more correctable than organic damage.

Scanner choice leaves detectable fingerprints on results. Flatbeds produce the classic artifacts described above but do so consistently; smartphone scanning apps substitute perspective wobble and page-edge shadow for moiré, trading one artifact family for another. All-in-one office machines rush lamp calibration, leaving faint brightness steps across long scans. Identifying which machine produced your archive explains which corrections matter most for your particular batch.

Batch-digitizing projects deserve a workflow note: calibrate once with a representative print, scan an entire album in one session so lighting conditions stay constant, and enhance afterward in whatever order suits you. Consistent inputs let identical settings serve every frame, turning a hundred-photo restoration project into an evening rather than a month of individually tuned experiments.

How to enhance a scanned photo

1
Upload the scan
Any flatbed or all-in-one output.
2
AI cleans artifacts
Moiré flattens, dust lifts, banding evens out.
3
Download free
Archive-ready file, watermark-free.

Frequently asked questions

What is moiré and why does it show up on scanned photos?

It is an interference pattern between two regular grids — your scanner's sensor grid and the halftone dots printers used to simulate continuous tone. Overlap them slightly out of phase and rainbow ripple patterns emerge that exist in neither original.

Does this remove dust specks automatically?

Yes — scanner-glass dust and hairs register as high-contrast isolated specks, which detection removes cleanly. Dense dust fields improve substantially though perfection on every single grain is honestly not guaranteed.

Should I scan at a higher DPI before uploading?

If rescanning is easy, yes — 300 DPI minimum, 600 better for small prints. More real pixels give every downstream fix more to work with. But don't rescan just for this tool; current scans usually suffice.

Does this work on scanned negatives, not just prints?

Negative scans invert color oddly and benefit from correction here after proper inversion in scanning software. For most people with print scans only, this tool handles everything directly.

The scanner's flaws aren't the photo's.

Fix a scanned photo