Adaptive Gaussian Fusion Double Channel Dehazing Algorithm

‍ ‍Aiming at the problems of incomplete dehazing and color distortion in the traditional image dehazing algorithm， a dehazing algorithm based on double channel with adaptive Gaussian fusion is proposed. First， considering that the atmospheric light should be less than the maximum value of the foggy image and greater than the minimum value of the foggy image， the fusion middle channel is obtained according to the method of adaptive control of the brightness control factor， and the local atmospheric light under the middle channel is obtained. Secondly， the double channel linear transmission is proposed， that is， the maximum channel is used to assist in the linear transformation， and then the Gaussian function weighted fusion method is used to realize the optimal channel estimation of the clear image， thereby obtaining the optimal transmission. Finally， the clear image is restored by combining the restoration model. Experiments show that the proposed method effectively solves the problems of image contrast decreases and color shift， with good dehazing effect， suitable brightness and higher color fidelity. In addition， the method also has excellent performance in quantitative indicators.