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Images provided by several imaging spectrometers are often contaminated with stripes. This artifact compromises
the visual quality and radiometric integrity of measured data. Although a large number of destriping algorithms
have been recently suggested, most of them provide results that display residual stripes if not strong distortion from
the original signal. To overcome this issue, we introduce a robust methodology using a gradient-based iterative
destriping algorithm (GBIDA). Statistical assumptions used in previous methods such as histogram matching are
replaced with a more realistic geometrical consideration on the images spatial gradient. An iterative scheme is then
used in order to isolate the striping effect from the original image prior to processing.