Images captured in foggy weather conditions exhibit losses in quality which are dependent on distance. If the depth and atmospheric conditions are known, one can enhance the images (to some degree) by compensating for the effects of the fog. Recently, several investigations have presented methods for recovering depth maps using only the information contained in a single foggy image. Each technique estimates the depth of each pixel independently, and assumes neighbouring pixels will have similar depths. In this work, we employ the fact that images containing fog are captured from outdoor cameras. As a result, the scene geometry is usually dominated by a ground plane. More importantly, objects which appear towards the top of the image are usu...
Imaging in the atmosphere presents the phenomenons of low contrast, low saturation and hue offset du...
In fog and haze weather conditions, the outdoor visibility is greatly reduced by the atmospheric sca...
The existing dehazing algorithms hardly consider background interference in the process of estimatin...
Abstract: Stereo reconstruction serves many outdoor applications, and thus sometimes faces foggy wea...
Outdoor images captured in bad weather are prone to yield poor visibility, which is a fatal problem ...
Images captured in foggy weather conditions often suffer from poor visibility, which will create a l...
Many image-based recognition tasks are highly susceptible to different types of natural phenomena li...
Images captured under hazy conditions (e.g. fog, air pollution) usually present faded colors and los...
Abstract. Images captured under adverse weather conditions, such as haze or fog, typically exhibit l...
Abstract—Images captured in foggy weather conditions often suffer from bad visibility. In this paper...
Abstract—We describe new methods for estimating the ge-ometry of an outdoor scene from either (1) a ...
In adverse weather conditions, in particular, in day-light fog, the contrast of images grabbed by in...
Bad weather conditions can reduce visibility on images acquired outdoors, decreasing their visual qu...
Abstract: Current environmental monitoring devices are limited in their capability of measuring atmo...
From an analysis of the priors used in state-of-the-art algorithms for single image defogging, a new...
Imaging in the atmosphere presents the phenomenons of low contrast, low saturation and hue offset du...
In fog and haze weather conditions, the outdoor visibility is greatly reduced by the atmospheric sca...
The existing dehazing algorithms hardly consider background interference in the process of estimatin...
Abstract: Stereo reconstruction serves many outdoor applications, and thus sometimes faces foggy wea...
Outdoor images captured in bad weather are prone to yield poor visibility, which is a fatal problem ...
Images captured in foggy weather conditions often suffer from poor visibility, which will create a l...
Many image-based recognition tasks are highly susceptible to different types of natural phenomena li...
Images captured under hazy conditions (e.g. fog, air pollution) usually present faded colors and los...
Abstract. Images captured under adverse weather conditions, such as haze or fog, typically exhibit l...
Abstract—Images captured in foggy weather conditions often suffer from bad visibility. In this paper...
Abstract—We describe new methods for estimating the ge-ometry of an outdoor scene from either (1) a ...
In adverse weather conditions, in particular, in day-light fog, the contrast of images grabbed by in...
Bad weather conditions can reduce visibility on images acquired outdoors, decreasing their visual qu...
Abstract: Current environmental monitoring devices are limited in their capability of measuring atmo...
From an analysis of the priors used in state-of-the-art algorithms for single image defogging, a new...
Imaging in the atmosphere presents the phenomenons of low contrast, low saturation and hue offset du...
In fog and haze weather conditions, the outdoor visibility is greatly reduced by the atmospheric sca...
The existing dehazing algorithms hardly consider background interference in the process of estimatin...