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Image destriping
Image processing task From Wikipedia, the free encyclopedia
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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]
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