  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.
