
Understanding Before and After Photo Restoration: What Changes and Why
Learn to read photo restoration before-and-after comparisons critically. What AI restoration actually changes and how to evaluate restoration quality.
David Park
Understanding Before and After Photo Restoration
Before-and-after comparisons are the standard way of demonstrating photo restoration results. Slider images, split frames, side-by-side comparisons — they're everywhere in restoration marketing. They're also frequently misleading if you don't know what to look for.
I want to give you a guide to reading these comparisons honestly, including what to look for in both successful restorations and in ones that may be overselling their results.
What Good Restoration Changes
Tonal range. A well-restored photograph should show more distinct separation between highlights, midtones, and shadows than the original. Faded photographs have a compressed tonal range — blacks that are actually medium gray, whites that have yellowed. Good restoration expands this range appropriately.
Face clarity. AI face enhancement should produce faces with identifiable features. The person should look like themselves — not a generic enhanced face, but the specific individual in the photograph.
Surface damage removal. Scratches, cracks, stains, and spots should be removed or significantly reduced. The inpainting that fills these areas should blend with the surrounding image without obvious seams or artifacts.
Color accuracy. For color photographs, faded or shifted colors should be corrected toward the expected palette for the era and subject matter.
What Good Restoration Should Not Change
Identity. The person in the restored photograph should look like the same person as the unrestored original. If the face has changed — different eye spacing, different nose shape, different jaw structure — that's identity hallucination, and it's a significant problem.
Invented detail. Damaged areas filled by AI should be filled plausibly, but you should be able to identify them as filled areas when comparing at full resolution. Restoration that invents a specific piece of jewelry, a pattern on fabric, or a face in a blank damaged area is potentially misrepresenting what was there.
Over-sharpening. Some restoration services apply aggressive sharpening that produces hyper-real results that look impressive in comparison images but feel wrong when examined closely. Authentic old photographs have a characteristic softness from the optics and chemistry of their era. Extreme sharpening creates an anachronistic look.
Evaluating Restoration Quality
When evaluating a restoration:
- Check the face at 100% zoom. Does it look like a specific person or a generic AI face?
- Look at filled areas (where damage was visible in the original). Are the fills plausible and well-blended?
- Check edges of repaired areas for seams.
- For color photographs, ask whether the color correction looks accurate to the era.
Our photo restoration tool produces results we stand behind. Try it free and evaluate the results at full zoom.
About the Author
David Park
Digital Archivist
David spent a decade at the National Archives before founding his own photo preservation studio. He combines traditional conservation techniques with AI-assisted restoration.
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