Hi all.

I get really annoyed when my beautifully sharp panorama is sullied and
spoilt by a bit of camera-motion-blur in just one or two of the source
images
... :-(

My ( innumerate ) understanding is that motion blur can be corrected
by a) modelling the motion effect as a Point Spread Function [0] and
then b) applying a Deconvolution [1] thingy to 'rebuild' – or 'remap'
– the un-blurred pixels.

>From my agonising experience, "camera-motion-blur" tends to be linear
( occasionally rotational ) and applies equally to every pixel in the
frame. This should be quite easy to measure/model in a single image
using a few manual control points ( eg for start and end points of a
blur trail ) ?

If the motion blurred image overlaps with a non-motion blurred image,
it should be quite straight forward to automate motion blur
correction. Note that only partial overlap is necessary for camera-
motion-blur correction.

Motion blur caused by moving objects – “object-motion-blur” – could
use the same tools, but also requires some way of determining which
pixels need correcting and which don't – a kind of object detection.

I can't get my head around the deconvolution algorithms by which the
blurred pixel values are rebuilt into not-blurred pixel, but the
method may help pave the way toward support for resolution up-sampling
by combining data from overlapping images ...

[0] http://en.wikipedia.org/wiki/Point_spread_function
[1] http://en.wikipedia.org/wiki/Deconvolution

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