Image destriping is the process of removing stripes or streaks from images and videos without disrupting the original image/video. These artifacts plague a range of fields in scientific imaging including
atomic force microscopy,[2] light sheet
fluorescence microscopy,[3] and planetary
satellite imaging.[4]
The most common
image processing techniques to reduce stripe artifacts is with
Fourier filtering.[5] Unfortunately, filtering methods risk altering or suppressing useful image data. Methods developed for multiple-sensor imaging systems in planetary satellites use statistical-based methods to match signal distribution across multiple sensors.[6] More recently, a new class of approaches leverage
compressed sensing, to regularize an optimization problem, and recover stripe free images.[7][1][8] In many cases, these destriped images have little to no artifacts, even at low signal to noise ratios.[1]
^Rakwatin, P.; Takeuchi, W.; Yasuoka, Y. (2007). "Stripe Noise Reduction in MODIS Data by Combining Histogram Matching With Facet Filter". IEEE Transactions on Geoscience and Remote Sensing. 45 (6): 1844–1856.
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2007ITGRS..45.1844R.
doi:
10.1109/tgrs.2007.895841.
S2CID9046902.
^Gadallah, F.L.; Csillag, F; Smith, E.J.M. (2010). "Destriping multisensor imagery with moment matching". Int J Remote Sens. 21 (12): 2505–2511.
doi:
10.1080/01431160050030592.
S2CID128408378.
^Fitschen, J.H.; Ma, J; Schuff, S. (2017). "Removal of curtaining effects by a variational model with directional forward differences". Comput Vis Image Underst. 155: 24–32.
arXiv:1507.00112.
doi:
10.1016/j.cviu.2016.12.008.
S2CID5224151.