Statistical elimination of boundary artefacts in image deblurring

@article{Calvetti2005StatisticalEO,
  title={Statistical elimination of boundary artefacts in image deblurring},
  author={Daniela Calvetti and Erkki Somersalo},
  journal={Inverse Problems},
  year={2005},
  volume={21},
  pages={1697 - 1714}
}
The goal of image deconvolution is to restore an image within a given area, from a blurred and noisy specimen. It is well known that the convolution operator integrates not only the image in the field of view of the given specimen, but also part of the scenery in the area bordering it. The result of a deconvolution algorithm which ignores the non-local properties of the convolution operator will be a restored image corrupted by distortion artefacts. These artefacts, which tend to be more… 

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