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NB-GTR: Narrow-Band Guided Turbulence Removal

Yifei Xia · Chu Zhou · Chengxuan Zhu · Minggui Teng · Chao Xu · Boxin Shi

Arch 4A-E Poster #70
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Fri 21 Jun 5 p.m. PDT — 6:30 p.m. PDT


The removal of atmospheric turbulence is crucial for long-distance imaging. Leveraging the stochastic nature of atmospheric turbulence, numerous algorithms have been developed that employ multi-frame input to mitigate the turbulence. However, when limited to a single frame, existing algorithms face substantial performance drops, particularly in diverse real-world scenes. In this paper, we propose a robust solution to turbulence removal from an RGB image under the guidance of an additional narrow-band image, broadening the applicability of turbulence mitigation techniques in real-world imaging scenarios. Our approach exhibits a substantial suppression in the magnitude of turbulence artifacts by using only a pair of images, thereby enhancing the clarity and fidelity of the captured scene.

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