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A new article is available in IPOL:
<a class="moz-txt-link-freetext" href="http://www.ipol.im/pub/art/2014/98/">http://www.ipol.im/pub/art/2014/98/</a><br>
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Antoni Buades, Bartomeu Coll, Joan Duran, and Catalina Sbert,
Implementation of Nonlocal Pansharpening Image Fusion, Image
Processing On Line, 4 (2014), pp. 1–15.
<a class="moz-txt-link-freetext" href="http://dx.doi.org/10.5201/ipol.2014.98">http://dx.doi.org/10.5201/ipol.2014.98</a><br>
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Abstract<br>
This paper focuses on the implementation of the pansharpened image
fusion technique proposed in the companion paper [A Nonlocal
Variational Model for Pansharpening Image Fusion, SIAM Journal on
Imaging Sciences, 2014, to appear]. Pansharpening refers to the
process of inferring a high resolution multispectral image from a
high resolution panchromatic image and low resolution multispectral
one. Although quite successful in terms of relative error,
state-of-the-art pansharpening methods still introduce relevant
color artifacts. The variational pansharpening model proposed by
Buades et al. incorporates a nonlocal regularization term that takes
advantage of image self-similarity, leading to signicant reduction
of the <br>
above-mentioned color artifacts.<br>
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