Abstract

Outdoor scenes are usually affected by air particles and water vapor in the atmosphere. Haze is such phenomena happened due to atmospheric absorption and scattering. Haze affects the visibility and causes a degradation in the images quality of outdoor scenes, which in turn affects various image processing applications. In this paper, a review of the recent haze removal methods and its applications is introduced. The haze removal methods are categorized according to the input of their algorithm into two categories: multiple images and single image. Afterward, the different strategies in each category of the haze removal techniques are discussed and their characteristics are illustrated. Eventually, the quantitative parameters that evaluate the quality of the haze removed image are presented. This review paper highlights the importance of the haze removal methods in restoring a high-quality image relative to the quality of the original haze-free image. This haze removed image is a vital key in many computer vision applications including the visual navigation and object recognition and target detection.

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