Image Blur Detector
Measure high-frequency detail with a Laplacian variance score, get a quick focus estimate, and reveal where strong edges occur.
Upload an image to calculate a focus score and inspect the high-frequency edge response.
Numeric focus score
Use Laplacian variance to compare sharpness among images captured or exported at similar dimensions.
Readable focus estimate
Translate the score into very blurry, soft, moderate, or sharp as a practical starting point.
Edge-response preview
Switch to a normalized map that highlights the pixels contributing most strongly to the score.
Ako to funguje
- 1
Nahrajte obrázok
Choose the photo or graphic whose focus and high-frequency detail need inspection.
- 2
Read the score
Review variance, focus estimate, maximum response, and analyzed dimensions.
- 3
Inspect the edge map
Switch previews or download the edge response for closer analysis.
Interpreting a blur detection score
Laplacian variance measures how widely second-derivative edge responses vary. Sharper images commonly create larger values because they contain stronger transitions. The score is content- and resolution-dependent, so compare similar photos rather than treating one threshold as a universal quality guarantee.
Často kladené otázky
Is a higher score always better?
Usually it indicates more high-frequency detail, but text, noise, compression artifacts, and subject matter can also raise the score.
Can this identify motion blur versus missed focus?
No. It estimates overall high-frequency detail and does not classify the cause of blur.
Je môj obrázok nahraný?
Nie. Váš obrázok zostane vo vašom prehliadači.
Image Blur Detector last reviewed: Sep 6, 2026.