Deblur

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Motion blur: long kernels, pan backgrounds, and rolling-shutter traps

Motion blur stretches pixels along the trajectory—background crisp while a runner smears, or panning that streaks architecture behind a sharp-ish car—distinct from global shake or uniform defocus. `motion-blur-correct` shows up on stages, fields, traffic long exposures, and kids at play. Very long blur kernels make single-frame deconvolution hallucinate in low-texture skies; electronic shutter can skew verticals, which is geometry, not a simple line kernel, so naive “de-motion” may worsen skew. Sometimes misfocus masquerades as motion when only the subject is soft—decide the dominant failure mode before cranking sliders. A slightly sharper neighbor frame in a burst is often the honest fix versus forcing one hopeless frame. After correction, inspect wheel spokes, fence pickets, and jersey lettering for breaks or duplicated ghosts; for client work, log settings and keep originals. When high ISO noise couples with motion, mild denoise before kernel estimation can stabilize direction finding, but over-denoise erases the cues the solver needs.

Motion deblur steps

  1. Inside `motion-blur-correct`, decide if blur is roughly linear or shows rolling-shutter skew—skew may need geometry fixes or a different frame.
  2. Read wheels, railings, and jersey type for broken strokes or double contours.
  3. If one frame is extreme but neighbors are cleaner, prefer the cleaner frame for anything archival.

Motion blur Q&A

Pan background is all streaks—must I fix it?
Only if the creative brief demands; motion streaks are often intentional.
Diagonal bands on LED walls?
Rolling shutter vs refresh rate—not classic motion blur; change shutter angle or pick another frame.
Subject soft but background sharp—motion or focus?
If static background is sharp, suspect subject speed or misfocus on the subject, not global shake.
Before publishing `motion-blur-correct` assets externally, which compliance checks are mandatory beyond visual quality?
Start with "retain source/output evidence", "prepare rollback versions", and "sample on real destinations", then explicitly verify "stale-cache replacement lag" and "detail loss after compression" before release approval.
Under deadline pressure, how should teams balance speed and stability in `motion-blur-correct` processing?
Start with "run channel dry-runs", "normalize naming conventions", and "sample on real destinations", then explicitly verify "rendering drift across devices" and "batch naming collisions" before release approval.
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