Funder
the Strategic Priority Research Program of the Chinese Academy of Sciences
the National Natural Science Foundation of China
the Foundation of Key Laboratory of Science and Technology Innovation of the Chinese Academy of Sciences
the Foundation of Advanced Laser Technology Laboratory of Anhui Province
the National Key Technology Support Program of China
Publisher
Springer Science and Business Media LLC
Reference47 articles.
1. Mohapatra B R, Mishra A, Rout S K (2014) A comprehensive review on image restoration techniques. International Journal of Research in Advent Technology 2(3):101–105
2. Gal R, Kiryati N, Sochen N (2014) Progress in the restoration of image sequences degraded by atmospheric turbulence. Pattern Recogn Lett 48:8–14
3. Nieuwenhuizen R, Schutte K (2019) Deep learning for software-based turbulence mitigation in long-range imaging. In: Artificial Intelligence and Machine Learning in Defense Applications, vol 11169, international society for optics and photonics, p 111690J
4. Micheli M (2012) The centroid method for imaging through turbulence. arXiv:1206.3925
5. Li D, Mersereau R M, Simske S (2007) Atmospheric turbulence-degraded image restoration using principal components analysis. IEEE Geosci Remote Sens Lett 4(3):340–344
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献