Implementation of Nonlocal Pansharpening Image Fusion
Antoni Buades, Bartomeu Coll, Joan Duran, Catalina Sbert
published
2014-02-28
reference
Antoni Buades, Bartomeu Coll, Joan Duran, and Catalina Sbert, Implementation of Nonlocal Pansharpening Image Fusion, Image Processing On Line, 4 (2014), pp. 1–15. https://doi.org/10.5201/ipol.2014.98

Communicated by Vicent Caselles, Gabriele Facciolo
Demo edited by Jose-Luis Lisani

This IPOL article is related to a companion publication in the SIAM Journal on Imaging Sciences:
A. Buades, B. Coll, J. Duran, and C. Sbert. "A Nonlocal Variational Model for Pansharpening Image Fusion" SIAM Journal on Imaging Sciences 7(2):761–796, 2014. http://dx.doi.org/10.1137/130928625

Abstract

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 Duran et al. incorporates a nonlocal regularization term that takes ad- vantage of image self-similarity, leading to signicant reduction of the above-mentioned color artifacts.

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