Images/videos of outdoor scenes are usually degraded by the turbid medium in the atmosphere. In this paper, a novel single image-based dehazing framework is proposed to remove haze effects from image/video, where we propose two novel image priors, called the pixel-based dark channel prior and the pixel-based bright channel prior. Based on the two priors with the haze imaging model, we propose t...

Images taken in foggy weather condition often suffer from poor visibility and clarity. Images of the outdoor scene which are captured under bad weather conditions contain atmospheric degradation such as haze, fog, smoke caused by the particles present in the atmosphere resulting in the absorption and scattering of the light, which travels from the scene point of the observer. Due to the presenc...

Particulate Matter (PM) is a form of air pollution that visually degrades urban scenery and is hazardous to human health and the environment. Current monitoring devices are limited in measuring average PM over large areas. Quantifying the visual effects of haze in digital images of urban scenery and correlating these effects to PM levels is a vital step in more practically monitoring our enviro...

Anshu Kumari, M.Tech Student (Digital Communication), Vits, Bhopal, India Amarjeet Kumar Ghosh, Assistant Professor (Electronics & Communication), Vits, Bhopal India ----------------------------------------------------------------------***------------------------------------------------------------------Abstract:Scattering, along with absorption, causes attenuation problems with radar and other...

The presence of haze could seriously contaminate the observations optical satellite imagery. Haze not only significantly affects visual interpretation but also reduces accuracy map products. In this article, a semiphysical approach is proposed to reduce effects for Landsat image. based on physical model radiative transfer theory and dark objects. As depth remotely sensed image almost constant v...