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Abstract: The haze makes the outdoor images and videos quality degraded seriously, which brings big difficulties to the normal operation of security and traffic monitoring system. Defogging algorithm is designed to to restore the image quality, enhance the image contrast and clarity. In this paper,a model of defogging restoration model is proposed based on the atmospheric scattering model and the color attenuation prior. Furthermore, by introducing additional visible edge ratio as the evaluation criterion, an adaptive method for obtaining the model parameters is proposed, then a set of adaptive algorithm for defogging is formed, and then the transmission map is optimized by the guided filter to recover the final haze-free images. Experiments have been taken by applying the presented method and three existing defogging algorithms to two foggy images. the experimental results show that the adaptive defogging algorithm in this paper can make the image sharpness and contrast improved greatly, and has advantage in real-time and clarity comparing with the other three algorithms.