The　technology　of　image　dehazing　can　only　work　for　haze　images,　but　in　batch　and　real-time　processing,　only　relying　on　human　visual　system　judge　whether　the　image　is　haze　or　non-haze　image,　is　unrealistic,　so　how　to　determine　whether　there　are　haze　or　non-haze　images　is　needed　to　be　solved.　In　this　paper,　we　proposed　a　method　to　judge　whether　a　given　image　is　haze.　According　to　the　difference　between　the　haze　and　non-haze　images,　we　extract　three　eigenvalues,　including　image　visibility,　intensity　of　dark　channel　and　image　contrast,　then　combine　with　support　vector　machine　to　make　judgment　of　image　state　which　is　haze　or　non-haze,　obtaining　high　recognition　rate.　Experimental　results　show　that　our　method　is　feasible　and　effective.　Our　method　for　bath　and　realtime　processing　provide　the　basis　for　judging　image　state,　promoting　the　wide　application　of　image　dehazing.　©　2011　IEEE.