Researchers at Microsoft are tackling the problem of motion blur using an aided blind deconvolution algorithm and a hardware attachment. In layman’s terms, this means a lot of calculations and a box full of inexpensive, interlinked motion detectors, such as gyroscopes and accelerometers.
What the boffins have come up with is a camera attachment that records any camera movement while an exposure is made and uses the data to compensate for motion blur through mathematics.
In this way, the team clains to have solved the problem of the unwanted sharpening of intentional blurring effects. Intentional blur could be the defocussing of the background (depth of field compression) to concentrate the viewer’s eyes on the subject of a picture, such as a flower or an insect.
Although this is an attachment at the moment, it is possible that it will be included within camera designs of the future as a standad fitting. Let’s face it, few people would buy it as a bolt-on no matter what the price might be. Professionals would resort to a tripod and amateurs would just try again and then give up.
But the results are quite impressive: