Recently,　extensive　research　and　application　on　contrast　enhancement　of　radiographs　based　on　multi-scale　decomposition　of　the　images　have　validated　its　higher　performance　than　regular　techniques.　However,　to　some　extent,　conventional　multi-scale　methods　suffered　from　the　introduction　of　visible　artifacts.　In　this　work,　we　present　an　algorithm　for　nonlinear　chest　radiograph　contrast　enhancement　algorithm　within　the　multi-scale　decomposition　architecture　in　spatial　domain.　In　particular,　one　kind　of　nonlinear　enhancement　function　is　designed　by　exploiting　local　contrast　information.　The　main　contribution　of　this　model　is　the　local　adaptive　enhancement　ability,　which　can　avoid　visible　artifacts,　while　keeping　the　same　detail　enhancement　ability.　In　the　meantime,　no　excessive　noise　is　amplified,　comparing　to　conventional　methods.　Finally,　an　evaluation　using　a　chest　image　is　provided　to　demonstrate　the　effectiveness　of　the　proposed　algorithm.