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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.