Solar-Terrestrial Physics Solar-Terrestrial Physics Solar-Terrestrial Physics 2500-0535 17482 10.12737/stp-3220172 Results of current research Results of current research Results of current research Guided filtering for solar image/video processing Guided filtering for solar image/video processing Лун Сюй Long Xu lxu@nao.cas.cn Ихуа Янь Yihua Yan Цзюнь Чэн Jun Cheng Национальные астрономические обсерватории Китая Пекин Китайская Республика National Astronomical Observatories of Chinese Academy of Sciences Beijing Taiwan Главная лаборатория исследования солнечной активности, Национальные астрономические обсерватории, Академия наук КНР Пекин Китайская Народная Республика Key Laboratory of Solar Activity, National Astronomical Observatories, Chinese Academy of Sciences Beijing China Университет Китайской академии наук Пекин Китайская Народная Республика University of Chinese Academy of Sciences Beijing China Главная лаборатория исследования солнечной активности, Национальные астрономические обсерватории, Академия наук КНР Пекин Китайская Республика Key Laboratory of Solar Activity, National Astronomical Observatories Beijing Taiwan Государственная главная лаборатория космической пого-ды, Академия наук КНР Пекин Китайская Народная Республика State Key Laboratory of Space Weather, Chinese Academy of Sciences Beijing China 3 2 9 15 https://naukaru.ru/en/nauka/article/17482/view

A new image enhancement algorithm employing guided filtering is proposed in this work for enhancement of solar images and videos, so that users can easily figure out important fine structures imbedded in the recorded images/movies for solar observation. The proposed algorithm can efficiently remove image noises, including Gaussian and impulse noises. Meanwhile, it can further highlight fibrous structures on/beyond the solar disk. These fibrous structures can clearly demonstrate the progress of solar flare, prominence coronal mass emission, magnetic field, and so on. The experimental results prove that the proposed algorithm gives significant enhancement of visual quality of solar images beyond original input and several classical image en-hancement algorithms, thus facilitating easier determi-nation of interesting solar burst activities from recorded images/movies.

A new image enhancement algorithm employing guided filtering is proposed in this work for enhancement of solar images and videos, so that users can easily figure out important fine structures imbedded in the recorded images/movies for solar observation. The proposed algorithm can efficiently remove image noises, including Gaussian and impulse noises. Meanwhile, it can further highlight fibrous structures on/beyond the solar disk. These fibrous structures can clearly demonstrate the progress of solar flare, prominence coronal mass emission, magnetic field, and so on. The experimental results prove that the proposed algorithm gives significant enhancement of visual quality of solar images beyond original input and several classical image en-hancement algorithms, thus facilitating easier determi-nation of interesting solar burst activities from recorded images/movies.

 guided filter Gaussian filter bilateral filter edge preserving image enhancement guided filter Gaussian filter bilateral filter edge preserving image enhancement

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