In general, long range visual detection, recognition and identification are hampered by
turbulence caused by atmospheric conditions. Much research has been devoted to the field …

Optical imaging over long horizontal paths often suffers from the effects of atmospheric
turbulence. Dynamic density variations in the air result in random spatiotemporally varying …

Оценивание степени размытости является важным шагом на пути улучшения качества
изображения. В литературе предложено много подходов, критериев и алгоритмов …

With the knowledge of how edges vary in the presence of a Gaussian blur, a method that
uses low-order Tchebichef moments is proposed to estimate the blur parameters: sigma (σ) …

In this paper we present algorithms for automatically detecting issues specific to converted
S3D content. When a depth-image-based rendering approach produces a stereoscopic …

Актуальность исследования. Задача разработки и исследования методов и алгоритмов
распознавания образов геометрических и кинематических характеристик объекта …

In general, long range visual detection, recognition and identification are hampered by
turbulence caused by atmospheric conditions. Much research has been devoted to the field …

In general, long range detection, recognition and identification in visual and infrared imagery
are hampered by turbulence caused by atmospheric conditions. The amount of turbulence is …

A CUBI, a simple geometric metal test-object, is placed in an outdoor environment to monitor
the infrared signature. The (daily) temperature evolution of the individual facets is monitored …

The Electro-Optical Signal Transmission and Ranging (EOSTAR) model is an image-based
Tactical Decision Aid (TDA) for thermal imaging systems (MWIR/LWIR) developed for a sea …