Haze has an impact on the quality of the image. Single image dehazing is a challenging ill-posed problem. The traditional dehazing methods have some problems, such as color distortion and limited application scope. To overcome these problems, we propose a generative adversarial mapping nets(GAMN) algorithm for image dehazing. In the training, an adversarial learning mechanism between the generative networks and the discriminative networks was used to obtain the optimal solution of parameters. In the testing...
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