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Reconstruction of irregularly-sampled images by regularization in spline spaces

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Reconstruction of irregularly-sampled images by regularization in spline spaces
We are concerned with the reconstruction of a regularly-sampled image based on irregularly-spaced samples thereof. We propose a new iterative method based on a cubic spline representation of the image. An objective function taking into account the similarity to the known samples and the regularity of the function is minimized in order to obtain a good approximation. We apply the developed algorithm to motion-compensated image interpolation. Under motion compensation, the resulting sampling grids are irregular and require the irregular/regular interpolation. We show experimental results on real-world images and we compare our results with other methods proposed in the literature.
Carlos Vázquez, Eric Dubois, Janusz Konrad
Added 24 Oct 2009
Updated 24 Oct 2009
Type Conference
Year 2002
Where ICIP
Authors Carlos Vázquez, Eric Dubois, Janusz Konrad
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