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Among these, real\u2010time restoration based on a single turbulence\u2010degraded image has always been a challenging topic that everyone is concerned about. The approach performed here optimizes the convolutional neural network using residual learning and smoothed dilated convolutions, which may increase the field of vision under the situation of limited GPU memory. To identify the model's performance, the authors employ training and test data with strong, medium, and weak levels synthesized by the Fried kernel, the real\u2010time data captured by the Ritchey\u2013Chretien telescope, the Open Turbulent Images Set and the real comparative data. Furthermore, the proposed model is compared to previous state\u2010of\u2010the\u2010art approaches. The experimental results demonstrate that the proposed novel model can recover turbulently degraded images more\u00a0effectively.<\/jats:p>","DOI":"10.1049\/ipr2.12559","type":"journal-article","created":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T02:40:59Z","timestamp":1657075259000},"page":"3507-3517","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Atmospheric turbulence degraded image restoration using a modified dilated convolutional network"],"prefix":"10.1049","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1271-2297","authenticated-orcid":false,"given":"Changdong","family":"Su","sequence":"first","affiliation":[{"name":"Key Laboratory of Atmospheric Optics Anhui Institute of Optics and Fine Mechanics HFIPS Chinese Academy of Sciences Hefei China"},{"name":"Science Island Branch of Graduate School University of Science and Technology of China Hefei China"},{"name":"Advanced Laser Technology Laboratory of Anhui Province Hefei China"}]},{"given":"Xiaoqing","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Atmospheric Optics Anhui Institute of Optics and Fine Mechanics HFIPS Chinese Academy of Sciences Hefei China"},{"name":"Advanced Laser Technology Laboratory of Anhui Province Hefei China"}]},{"given":"Yiming","family":"Guo","sequence":"additional","affiliation":[{"name":"Key Laboratory of Atmospheric Optics Anhui Institute of Optics and Fine Mechanics HFIPS Chinese Academy of Sciences Hefei China"},{"name":"Science Island Branch of Graduate School University of Science and Technology of China Hefei China"},{"name":"Advanced Laser Technology Laboratory of Anhui Province Hefei China"}]},{"given":"Shitai","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Atmospheric Optics Anhui Institute of Optics and Fine Mechanics HFIPS Chinese Academy of Sciences Hefei China"},{"name":"Science Island Branch of Graduate School University of Science and Technology of China Hefei China"},{"name":"Advanced Laser Technology Laboratory of Anhui Province Hefei China"}]},{"given":"Zhiyuan","family":"Wang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Atmospheric Optics Anhui Institute of Optics and Fine Mechanics HFIPS Chinese Academy of Sciences Hefei China"},{"name":"Advanced Laser Technology Laboratory of Anhui Province Hefei China"},{"name":"Institutes of Physical Science and Information Technology Anhui University Hefei China"}]},{"given":"Dongfeng","family":"Shi","sequence":"additional","affiliation":[{"name":"Key Laboratory of Atmospheric Optics Anhui Institute of Optics and Fine Mechanics HFIPS Chinese Academy of Sciences Hefei China"},{"name":"Advanced Laser Technology Laboratory of Anhui Province Hefei China"}]}],"member":"265","published-online":{"date-parts":[[2022,7,5]]},"reference":[{"key":"e_1_2_8_2_1","first-page":"111690J","volume-title":"Artificial Intelligence and Machine Learning in Defense Applications","author":"Nieuwenhuizen R.","year":"2019"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2012.82"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.3934\/ipi.2012.6.531"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.1364\/OE.23.005091"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.3934\/ipi.2013.7.839"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1137\/090771260"},{"key":"e_1_2_8_8_1","unstructured":"Calder J.W.:Sobolev gradient flows and image processing. 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