Space-invariant deblurring given N independently blurred images of a common object

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Abstract
An algorithm is developed for space-invariant deblurring of an object given several differently blurred images of that object. Given some control over the creation of the individual blurred images, the restoration instabilities associated with the transmission zeros can be mostly eliminated. The algorithm provides improved performance with noisy images and also provides some insensitivity to blur model errors. It reduces in form to the Wiener filter or constrained least-squares filter for the single-image case.

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