A survey of image dehazing approaches

• Published in: The 27th Chinese Control and Decision Conference (2015 CCDC) pp. 3964 - 3969
• Main Authors: Chengtao, C., Qiuyu, Z., Yanhua, L.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2015
• Subjects: Atmospheric modeling; Histograms; Image color analysis; Image Defogging; Image enhancement; Image restoration; Mathematical model; Physical Model; Scattering; Time Consume
• ISSN: 1948-9439
• DOI: 10.1109/CCDC.2015.7162616

Image has important applications in many fields such as marine surveillance, environment monitoring and so on. The scattering effects of the atmospheric particles in the air play a main role of resulting in contrast reduction and color fading. For dealing with this challenging but imperative issue, there are numerous researchers have strove for this scientific field and published a plenty of findings about restoring the foggy image. In this paper, we summarized the existing outcomes and reviewed the approaches which were employed for dehazing. Based on our best knowledge, we classified the numerous image dehazing approaches into two broad categories i.e. image enhancement and physical model restoration. Some classical and prominent dehazing approaches were analyzed and elaborated in the term of basic principle, time consuming and typical application field. The validation of performance measurement also was discussed in detail. We also carried out some experiments to demonstrate the visualization effects and the time-consuming efficiency corresponding to the different algorithm. The main purpose of this paper is to succinctly review recent progresses and state-of-the-art advances in image dehazing as well as present one concise understanding in image dehazing techniques.