Given a image, how extract (detect) blurred (or focussed) regions? -



Given a image, how extract (detect) blurred (or focussed) regions? -

blurred (focussed) part arbitrary shape (not rectangle)

simple input/output example:

(is valid algorithm, command, software, ...)

thank you!

the variance much higher in focused regions because blurring acts spatial low-pass filter.

but if object shows no variance (uniform object wall or sky) lost , not see differences @ between blurred , focused regions.

therefore question cannot answered every kind of image. it's impossible.

what do:

high pass filter image. (edge detection, absolute differences between neighboring pixels, laplace or local variances, ...) (matlab)

smooth , apply threshold.

apply pre-knowledge imaging optics if existing. illustration knowing focus must round , in in center, ...

image-processing

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