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Non-linear multi-frame image denoising using weighted nuclear norm minimizationстатья
Информация о цитировании статьи получена из
Scopus
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 23 сентября 2021 г.
- Авторы: Nasonov A.V., Volodina O.S., Krylov A.S.
- Журнал: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Номер: XLIV-2/W1-2021
- Год издания: 2021
- Издательство: International Society for Photogrammetry and Remote Sensing
- Местоположение издательства: Hannover, Germany
- Первая страница: 167
- Последняя страница: 170
- DOI: 10.5194/isprs-archives-XLIV-2-W1-2021-167-2021
- Аннотация: We address the problem of constructing single low noise image from a sequence of multiple noisy images. We use the approach based on finding and averaging similar blocks in the image and extend it to multiple images. Unlike traditional multi-frame super-resolution algorithms, the block-matching approach does not require computationally expensive motion estimation for multi-frame image denoising. In this work, we use an algorithm based on weighted nuclear minimization for image denoising. The evaluation of the algorithm shows noticeable improvement of image quality when using multiple input images instead of single one. The improvement is the most noticeable in the areas with complex non-repeated structure.
- Добавил в систему: Насонов Андрей Владимирович