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arXiv · 1710.00672

Restoration of Pansharpened Images by Conditional Filtering in the PCA Domain

Joan Duran·Antoni Buades
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Abstract

Pansharpening techniques aim at fusing low-resolution multispectral (MS) images and high-resolution panchromatic (PAN) images to produce high-resolution MS images. Despite significant progress in the field, spectral and spatial distortions might still compromise the quality of the results. We introduce a restoration strategy to mitigate artifacts of fused products. After applying the Principal Component Analysis (PCA) transform to a pansharpened image, the chromatic components are filtered conditionally to the geometry of PAN. The structural component is then replaced by the locally histogram-matched PAN for spatial enhancement. Experimental results illustrate the efficiency of the proposed restoration chain.

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Joan Duran, Antoni Buades. 2017-10-02. Restoration of Pansharpened Images by Conditional Filtering in the PCA Domain. https://doi.org/10.1109/lgrs.2018.2873654

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