Under fog weather conditions, the contrast and color characters of the images captured by outdoor surveillance system are drastically degraded. In order to improve system's reliability and stability for object features detection, this paper focus the research on the fog-degraded image clearness techniques based on the analysis of image degradation mechanisms, and some novel/improved ideas and methods have been proposed mainly from two aspects which include image enhancement and image restoration.
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