Despite　having　effective　dehzing　performance,　single　image　dehazing　methods　based　on　the　dark　channel　prior　(DCP)　still　suffer　from　slightly　dark　dehazing　results　and　oversaturated　sky　regions.　An　improved　single　image　dehazing　method,　which　combines　image　enhancement　techniques　with　DCP　model,　is　proposed　to　overcome　this　deficiency.　Firstly,　it　is　analyzed　that　the　cause　of　darker　results　mainly　lies　in　the　air-light　overestimation　caused　by　bright　ambient　light　and　white　objects.　Then,　the　air-light　estimation　is　modified　by　combining　morphological　reconstruction　with　DCP.　Next,　it　is　derived　that　appropriately　increasing　the　saturation　component　can　compensate　for　transmission　underestimate,　which　can　further　alleviate　the　oversaturation.　Finally,　the　image　dehazed　with　modified　air-light　and　transmission　is　further　refined　by　linear　intensity　transformation　to　improve　contrast.　Extensive　experiments　validate　the　proposed　method,　which　is　on　par　with　and　even　outperforms　the　state-of-the-art　methods　in　subjective　and　objective　evaluation.