Atmospheric　conditions　induced　by　suspended　particles,　such　as　fog　and　haze,　severely　alter　the　scene　appearance.　In　this　paper,　we　proposed　a　novel　adaptive　defogging　method　based　on　the　weighted　least　squares　(WLS)　framework,　aiming　at　improving　the　image　visibility　under　foggy　or　hazy　weather　condition.　Through　the　inference　of　halo　intensity　and　smooth　degree,　our　method　adopts　image　fusion　technology　based　on　multi-scale　WLS　filter　to　estimate　atmospheric　veil,　and　restores　the　foggy　image　by　inverting　the　atmospheric　scattering　model.　The　results　on　the　experiments　of　comparison　with　traditional　algorithms　demonstrate　that　the　proposed　method　can　achieve　more　accurate　restoration,　resulting　in　a　great　improvement　in　image　visibility.　©　2015　-　IOS　Press　and　the　authors.　All　rights　reserved.