Single color image dehazing using sparse priors

We present a new algorithm for removing the haze effects from a single color image. By introducing an additive noise argument in the degradation image model, we establish a unified probabilistic framework for the clear day image and the atmosphere transmission. Then we use an alternative optimization method to approximate the MAP estimators of these two variables iteratively. Experimental results demonstrate the efficiency of the proposed method on restoring the true scene colors and contrast.