Haze removal is useful in computational photography and computer vision applications.
Although many haze removal algorithms have been proposed, their computational efficiency …

Our study aims to review and analyze the most relevant studies in the image dehazing field.
Many aspects have been deemed necessary to provide a broad understanding of various …

To solve the problem of non-real-time processing of image dehazing using traditional dark-
channel prior algorithm, this work studies image real-time penetrating fog optimization …

Haze removal is useful in computational photography and computer vision applications.
Single image haze removal is still a challenge for real-time embedded systems. In general …

Image defogging has important application value in preprocessing technology and computer
vision system. Dark channel prior (DCP) is simple and effective in many defogging …

In this paper, we propose a video haze removal system that can be used to assist vehicle
drivers and autonomous vehicles in hazy weather conditions. Our design objectives are to …

In this paper, we implemented a video haze removal system that runs in real time and can
be integrated in a vehicle dashboard to assist drivers. We used a heterogeneous TI …

The images captured in hazy weather are always affected by haze, hence image dehazing
has become a hot field in image processing. However, the existing dehazing algorithms are …

Simultaneous processing of multiple multimedia appears in many applications. However,
there is a lack of a generalized hardware platform that fits all application needs from the …

In order to restore degraded traffic images in haze and dark environment, we present an
efficient traffic image haze removal method using sky segmentation and color space …