2nd Place Solutions for UG2+ Challenge 2022 -- D$^{3}$Net for Mitigating Atmospheric Turbulence from Images

• URL: http://arxiv.org/abs/2208.12332v1
• Date: Thu, 25 Aug 2022 20:20:09 GMT
• Title: 2nd Place Solutions for UG2+ Challenge 2022 -- D$^{3}$Net for Mitigating Atmospheric Turbulence from Images
• Authors: Sunder Ali Khowaja, Ik Hyun Lee, Jiseok Yoon
• Abstract summary: D$3$Net was proposed by our team "TUK-IK" for Atmospheric Turbulence Mitigation in $UG2+$ Challenge at CVPR 2022. The proposed method ranked 2nd on the final leader-board of the aforementioned challenge in the testing phase, respectively.
• Score: 5.092028049119383
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: This technical report briefly introduces to the D$^{3}$Net proposed by our team "TUK-IKLAB" for Atmospheric Turbulence Mitigation in $UG2^{+}$ Challenge at CVPR 2022. In the light of test and validation results on textual images to improve text recognition performance and hot-air balloon images for image enhancement, we can say that the proposed method achieves state-of-the-art performance. Furthermore, we also provide a visual comparison with publicly available denoising, deblurring, and frame averaging methods with respect to the proposed work. The proposed method ranked 2nd on the final leader-board of the aforementioned challenge in the testing phase, respectively.

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