Английская Википедия:Image destriping

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Версия от 11:21, 25 марта 2024; EducationBot (обсуждение | вклад) (Новая страница: «{{Английская Википедия/Панель перехода}} {{short description|Image processing task}} thumb|Image destriping using the Schwartz-Hovden destripe algorithm.<ref name=Hovden2019/> Scale bar 2 μm. '''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 includ...»)
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Шаблон:Short description

Файл:Image Destriping.png
Image destriping using the Schwartz-Hovden destripe algorithm.[1] Scale bar 2 μm.

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]

References

Шаблон:Reflist

Шаблон:Signal-processing-stub