Weighted haze removal method with halo prevention

In this paper, we propose an efficient method to remove haze from a signal image based on the atmospheric scattering model and dark channel prior. Our approach applies a weighted technique that automatically finds the possible atmospheric lights, and mixes these candidates to refine the atmospheric light. Then, difference prior, a novel prior processing method, is employed for the estimation of the transmission that mitigates the halo artifact around the sharp edges. This method requires a low computational cost and is suitable for real-time applications. The experimental results show that our approach obtains the comparable results as compared with previous methods.

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