Abstract
Wireless Multimedia Sensor Networks (WMSNs) have been implemented and used in many applications. The camera sensors are usually deployed in the wild to capture the image information and events. Images of outdoor scenes are usually degraded by the turbid medium in the atmosphere (fog, haze etc), which will reduce the accuracy of the sensor system greatly. On the other hand, due to the limited bandwidth in WMSNs, the camera sensor often report with a low frame rate. The traditional fog removal algorithm based on the visual stream can not be applied in the WMSNs directly. In this paper, we propose a simple but effective image prior to remove fog from a single input image. We employ the dark channel prior which is a kind of statistics of the haze-free outdoor images. Using this prior with the haze imaging model, we can directly estimate the thickness of the fog and recover a high quality fog-free image. Experiment results demonstrate the power of the proposed algorithm.
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