Haze Removal in Python

Haze and fog cause poor visibility for vision sensor, and make computer vision problems challenging. In this paper, we propose a new de-hazing method for single image on super-pixel domain. One of widely used approaches for de-hazing is to introduce dark channel prior. However, in the previous researches, dark channel prior map is estimated with the fixed size and rectangle patch, and its size affects the performance of de-hazing algorithm. By replacing the conventional fixed size patch to the super-pixel, transmission map can be estimated with more specific details, which allow obtaining non-saturated haze free results. We demonstrate our preliminary results by comparisons between our method and one of the state-of-the-art algorithm with varying patch size on transmission map and restored images.