2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

Imaging Without Borders

2021 IEEE International Conference on Image Processing

19-22 September 2021 • Anchorage, Alaska, USA

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Paper Detail

Paper IDIMA-ELI-1.4
Paper Title CONFIDENCE GUIDED NETWORK FOR ATMOSPHERIC TURBULENCE MITIGATION
Authors Nithin Gopalakrishnan Nair, Vishal Patel, Johns Hopkins University, United States
SessionIMA-ELI-1: Imaging and Media Applications + Electronic Imaging
LocationArea F
Session Time:Monday, 20 September, 15:30 - 17:00
Presentation Time:Monday, 20 September, 15:30 - 17:00
Presentation Poster
Topic Imaging and Media Applications: Image and video processing over networks
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Abstract Atmospheric turbulence can adversely affect the quality of images or videos captured by long-range imaging systems. Turbulence causes both geometric and blur distortions in images which in turn results in poor performance of the subsequent computer vision algorithms like recognition and detection. Existing methods for atmospheric turbulence mitigation use registration and deconvolution schemes to remove degradations. In this paper, we present a deep learning-based solution in which Effective Nearest Neighbors (ENN) based method is used for registration and an uncertainty-based network is used for restoration. We perform qualitative and quantitative comparisons us-ing synthetic and real-world datasets to show the significance of our work.