A fast image dehazing algorithm based on negative correction
We first introduce the concept of the negative correction of photographic developing into dehazing algorithm. Instead of estimating the transmission map, the correction factor of negative images is estimated and it is used to rectify the corresponding haze images. In order to suppress halos, a modified maximum-filter is proposed to limit the maximum value of modified correction factor of local region. The proposed algorithm can effectively remove hazes. It can not only maintain the naturalness of images, but also enhance the details of images. Moreover, it can significantly reduce the computational complexity.
dehazing negative correction maximum-filter image enhancement the dark channel prior