3 papers
cs.CV2024
Turbulence Strength Estimation from Video using Physics-based Deep Learning
Ripon Kumar Saha, Esen Salcin, Jihoo Kim +2
Images captured from a long distance suffer from dynamic image distortion due to turbulent flow of air cells with random temperatures, and thus refractive indices. This phenomenon,…
cs.CV2024
Unsupervised Region-Growing Network for Object Segmentation in Atmospheric Turbulence
Dehao Qin, Ripon Saha, Suren Jayasuriya +2
Moving object segmentation in the presence of atmospheric turbulence is highly challenging due to turbulence-induced irregular and time-varying distortions. In this paper, we prese…
cs.CV2024
Turb-Seg-Res: A Segment-then-Restore Pipeline for Dynamic Videos with Atmospheric Turbulence
Ripon Kumar Saha, Dehao Qin, Nianyi Li +2
Tackling image degradation due to atmospheric turbulence, particularly in dynamic environment, remains a challenge for long-range imaging systems. Existing techniques have been pri…