Unidirectional total variation destriping using difference curvature in MODIS emissive bands

• A novel destriping method of MODIS emissive bands is proposed.
• Spatial information extracted by the difference curvature is utilized to construct the spatially weighted parameters.
• Split Bregman iteration method is employed to optimize the proposed model.

This paper presents a method of unidirectional total variation destriping using difference curvature in MODIS (Moderate Resolution Imaging Spectrometer) emissive bands. First, difference curvature is utilized to extract spatial information at each pixel; and the spatially weighted parameters that constructed by extracted spatial information are incorporated into the unidirectional total variation model to adaptively adjust the destriping strength for achieving a better destriping result and preserving the detail information meantime. Second, the split Bregman iteration method is employed to optimize the proposed model. Finally, experimental results from MODIS emissive bands and comparisons with other methods demonstrate the potential of the presented method for MODIS image destriping.