Atmospheric turbulence significantly complicates the interpretation and analysis of images
by distorting them, making it hard to classify and track objects within a scene using …

This paper deals with dense optical flow estimation from the perspective of the trade-off
between quality of the estimated flow and computational cost which is required by real-world …

Transform image processing methods are methods that work in domains of image
transforms, such as Discrete Fourier, Discrete Cosine, Wavelet, and alike. They proved to be …

This paper describes a new method for mitigating the effects of atmospheric distortion on
observed sequences that include large moving objects. In order to provide accurate detail …

Due to atmospheric turbulence, light randomly refracts in three dimensions (3D), eventually
entering a camera at a perturbed angle. Each viewed object point thus has a distorted …

The challenge of detecting and tracking moving objects in imaging throughout the
atmosphere stems from the atmospheric turbulence effects that cause time-varying image …

Long-distance surveillance is a challenging task because of atmospheric turbulence that
causes time-varying image shifts and blurs in images. These distortions become more …

A system of optical microscopy has been developed for high-temperature direct observation
and strain measurement. Observations at high temperatures are carried out using a UV CCD …

Long-range imaging with visible or infrared observation systems is typically hampered by
atmospheric turbulence. Software-based turbulence mitigation methods aim to stabilize and …

Refraction causes random dynamic distortions in atmospheric turbulence and in views
across a water interface. The latter scenario is experienced by submerged animals seeking …