Gibbs-Ringing artifact removal based on local subpixel-shifts

Gibbs-ringing originates from the convolution of sharp edges in an object with the point-spread function, which is typically a sinc-function. They are strongest when the sinc is sampled at the extrema, and virtually disappear when it is sampled at its zero crossings. In this work, we propose a correction method based on local subvoxel pixel shifts, such that the oscillations are locally sampled at the zero crossings, and hence disappear. Compared to the popular global filtering approach, the proposed significantly better removes the artifact, while it introduces less smoothing and preserves the edges.

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