Implementation of Nonlocal Pansharpening Image Fusion

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.