What blur detection means in practice
Blur detection is not just about finding technically imperfect images. It is about reducing the review pile when a gallery contains obvious misses, accidental motion blur, poor focus, or badly exposed frames.
CleanLens treats that as a review problem, not a silent deletion problem. The goal is to surface likely misses so you can inspect them quickly.
How CleanLens scores photo quality
CleanLens combines multiple signals rather than relying on a single pass or a simplistic blur check. The site and privacy documentation already describe the core adjustable dimensions: clarity strictness, light tolerance, and content importance.
That matters because a technically imperfect photo can still be meaningful. A child looking at the camera or a once-in-a-lifetime expression may still deserve to stay even if the shot is slightly soft.
- Clarity strictness for blur sensitivity
- Light tolerance for overexposure or underexposure
- Content importance to avoid over-pruning meaningful shots
Why on-device blur review is useful
Low-quality review is privacy-sensitive because it requires the app to look at what is inside your personal photo library. On-device analysis keeps that review local and makes the product easier to trust.
It also makes the answer to common product questions straightforward: CleanLens can assess blur and exposure without uploading photos to a remote server for scoring.
Why the model still asks for your judgment
No model can perfectly understand sentimental value. That is why CleanLens uses quality scoring to rank or suggest, not to override the user.
If a slightly blurry image still matters to you, you can keep it. The product is meant to reduce review fatigue, not replace personal judgment.
FAQ
Can CleanLens keep meaningful photos even if they are a little blurry?
Yes. That is the reason the product talks about content importance instead of pure technical scoring alone. The model is meant to suggest, not dictate.
Does blur detection require cloud processing?
No. CleanLens is positioned as an on-device photo cleaner, so blur and exposure review are described as local analysis tasks.