General deblur: stacked blur, block edges, and what statistics cannot invent
What people call “blurry” is often a cocktail: mild defocus spreads edges, while chat-app recompression, moiré from reshooting a screen, and chroma subsampling create blocky softness that mimics optical blur. `deblur-photo-ai` performs statistical inference on missing information—it can recover some stroke direction and contour readability, but it cannot summon detail the sensor never captured. Position the tool as legibility rescue for trade-show banners, price tags, gauge clusters, or ticket QR edges, not as a stand-in for metrology or chain-of-custody originals. After processing, hunt for ringing halos, repeating fabric-like hallucinations, and plastic skin. If the file may support legal or archival use, keep the untouched master, rename exports to flag AI enhancement, and prefer re-capture with faster shutter, lower ISO, RAW workflow, or tripod support whenever time allows—that upstream discipline almost always beats maxing sliders on a single tiny JPEG.
General deblur workflow
- Upload the least-compressed source you have to `deblur-photo-ai`; if it is only a chat screenshot, scope expectations to readability, not scene truth.
- At 100% zoom, read vertical strokes in type, hair direction, and weave patterns for halos or invented texture.
- Save under a new filename and retain the original; disclose AI enhancement on anything leaving your desk.