Image distortion by atmospheric turbulence is a stochastic degradation, which is a critical
problem in long-range optical imaging systems. A number of research has been conducted …

Restoring images distorted by atmospheric turbulence is a ubiquitous problem in long-range
imaging applications. While existing deep-learning-based methods have demonstrated …

Imaging at a long distance often requires advanced image restoration algorithms to
compensate for the distortions caused by atmospheric turbulence. However, unlike many …

Since the seminal work of Andrey Kolmogorov in the early 1940's, imaging through
atmospheric turbulence has grown from a pure scientific pursuit to an important subject …

The atmospheric turbulence mitigation problem has emerged as a challenging inverse
problem in the communities of computer vision and optics. However, current methods either …

Long-range imaging inevitably suffers from atmospheric turbulence with severe geometric
distortions due to random refraction of light. The further the distance, the more severe the …

We describe a method for recovering the irradiance underlying a collection of images
corrupted by atmospheric turbulence. Since supervised data is often technically impossible …

At the pinnacle of computational imaging is the co-optimization of camera and algorithm.
This, however, is not the only form of computational imaging. In problems such as imaging …

The atmospheric and water turbulence mitigation problems have emerged as challenging
inverse problems in computer vision and optics communities over the years. However …

Robust transmission of spatial, spectral, or temporal distributions of light through complex
disordered media such as a turbulent atmosphere, biological tissue, or turbid media remains …