Images captured under poor illumination conditions often exhibit characteristics such as low
brightness, low contrast, a narrow gray range, and color distortion, as well as considerable …

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 …

A novel contrast enhancement algorithm based on the layered difference representation of
2D histograms is proposed in this paper. We attempt to enhance image contrast by …

A fast and optimized dehazing algorithm for hazy images and videos is proposed in this
work. Based on the observation that a hazy image exhibits low contrast in general, we …

Because pixel values of foggy images are irregularly higher than those of images captured
in normal weather (clear images), it is difficult to extract and express their texture. No method …

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 …

In this paper, a smart contrast enhancement technique based on conventional histogram
equalization (HE) algorithm is proposed. This dynamic histogram equalization (DHE) …

A general framework based on histogram equalization for image contrast enhancement is
presented. In this framework, contrast enhancement is posed as an optimization problem …