WebIn this paper, the image degradation models of the turbulent flow are given, the point spread function of turbulence is simulated by the similar Gaussian function model, and investigated a general framework of neural networks for restoring turbulence-degraded images. The blur and additive noise are considered simultaneously. WebRestoration of atmospheric turbulence degraded image is needed to be solved as soon as possible in the field of astronomical space technology. Owing to the fact that the point …
2024 Capstone by U-M School for Environment and Sustainability
WebJul 7, 2024 · In this paper, we propose a deep learning-based approach for restring a single image degraded by atmospheric turbulence. We make use of the epistemic uncertainty based on Monte Carlo dropouts to capture regions in the image where the network is having hard time restoring. The estimated uncertainty maps are then used to guide the network … WebJul 5, 2024 · The most noticeable effects of atmospheric turbulence on imaging are space-time distortions and various blurs. In this paper, to restore a single high-quality image … tour pantheon
CNN-Based Restoration of a Single Face Image Degraded by …
WebIn computer vision tasks, a variety of normalization methods are widely used. Compared with other normalization methods, Instance Normalization (IN) performs better in … WebJul 5, 2024 · Atmospheric turbulence can severely degrade images obtained by remote imaging systems. The most noticeable effects of atmospheric turbulence on imaging are … WebMar 29, 2006 · Image degradation associated with atmospheric turbulence often occurs when viewing remote scenes: the objects of interest will appear blurred, and the severity of this blurring will typically change over time. In addition, the stationary scene may appear to waver spatially. A classic example of this kind of distortion is the jet on the tarmac ... pound in peso