Invention Description Long-range imaging systems are often affected by atmospheric turbulence, which can introduce blur, distortion, and reduced image quality. Traditional turbulence simulators typically ignore depth-dependent variations, limiting their ability to accurately represent real-world imaging conditions. This lack of realism can hinder the...

Invention Description Long-range image analysis presents a significant challenge in computer vision, primarily due to atmospheric turbulence. The spatiotemporal variation in the medium's refractive index causes light ray bending, resulting in image degradation, specifically blurring and geometric deformation. Traditional estimation methods for...

Background Foreground and background segmentation is an important part of computer vision tasks including surveillance, remote sensing, and environmental monitoring. However, in long-range imaging for outdoor environments, substantial image distortions can occur due to atmospheric turbulence. These distortions limit the effectiveness of segmentation...