The presence of haze in the atmosphere degrades the quality of images captured by visible
camera sensors. The removal of haze, called dehazing, is typically performed under the …

Images captured in hazy or foggy weather conditions can be seriously degraded by
scattering of atmospheric particles, which reduces the contrast, changes the color, and …

摘要随着计算机视觉系统的发展及其在军事, 交通以及安全监控等领域的发展,
图像去雾已成为计算机视觉的重要研究方向. 在雾, 霾之类的恶劣天气下采集的图像会由于大气 …

Single image haze removal has been a challenging problem due to its ill-posed nature. In
this paper, we propose a simple but powerful color attenuation prior for haze removal from a …

Bad weather conditions can reduce visibility on images acquired outdoors, decreasing their
visual quality. The image processing task concerned with the mitigation of this effect is …

To enhance the visibility and usability of images captured in hazy conditions, many image
dehazing algorithms (DHAs) have been proposed. With so many image DHAs, there is a …

This paper describes a novel method to enhance underwater images by image dehazing.
Scattering and color change are two major problems of distortion for underwater imaging …

Haze usually causes severe interference to image visibility. Such degradation on images
troubles both human observers and computer vision systems. To seek high-quality images …

Vision-based intelligent systems like automatic driving or driving assistance can be
improved by enhancing the visibility of the scenes captured in bad weather conditions. In …

Video and images acquired by a visual system are seriously degraded under hazy and
foggy weather, which will affect the detection, tracking, and recognition of targets. Thus …