Abstract—Images acquired under the influence of bad weather conditions such as haze, fog and other aerosols are deteriorated due to the dispersal of atmospheric particles which lead to color fading and contrast reduction, making it challenging for human interpretation and object feature recognition. Several methods for image haze removal have been introduced over the recent years, which consist of approaches used to extrapolate information such as contrast, scene depth, color channels and so on. In this paper, we present a concise review of the current image dehazing methods. A comprehensive assessment and development on existing methods and related techniques is conducted based on their individual characteristics and principles. Qualitative and quantitative experimental evaluation of the state-of-the-art methods are conducted and discussed in depth. The paper further puts forward an overview of future trends within the research area.

Index Terms—Image dehazing, image enhancement, physical models, quality assessment.

Prince Owusu-Agyeman and Wei Xie are with School of Automation Science and Engineering, South China University of Technology, Guangzhou, China. Yeboah Yao is with School of Automation, Guangdong University of Technology, Guangzhou, China.

Cite:Prince Owusu-Agyeman, Wei Xie, Yeboah Yao, "A Concise Review on Image Dehazing Techniques," International Journal of Computer and Electrical Engineering vol. 11, no. 3, pp. 118-132, 2019.