A dehazing algorithm of compensated transmission based on negative haze concentration correction

Aiming at the problems such as halos, artifacts and incomplete dehazing in hazy image restoring processing, a dehazing algorithm of compensated transmission based on negative haze concentration correction is proposed. First of all, the error mechanism is used to compensate for the transmission of the dark channel prior(DCP), observing the relationships among transmission, depth of field, and haze concentration. A negative haze concentration model is constructed to adaptively correct the transmission of gamma in this study. Finally, the channel difference fusion-based median channel is proposed to correct local atmospheric veil and combined with the atmospheric scattering model to recover haze-free image. The experimental results show that the algorithm solves the problems of halos, artifacts and incomplete dehazing with outstanding details and appropriate brightness.