Owing　to　the　limitation　of　dynamic　range,　a　single　still　image　is　usually　insufficient　to　describe　a　high　contrast　scene.　Fusing　multi-exposure　images　of　the　same　scene　can　produce　a　resulting　image　with　details　both　in　the　bright　and　the　dark　regions.　However,　they　may　be　sensitive　to　the　exposure　parameters　of　the　input　images.　In　this　study,　a　global　layer　is　introduced　to　improve　the　robustness　of　the　fusion　method.　The　global　layer　is　employed　to　preserve　the　overall　luminance　of　a　real　scene　and　avoid　possible　luminance　reversion　artefacts.　Then,　details　are　recovered　in　the　gradient　domain　by　a　Poisson　solver.　Experimental　results　show　the　superior　performance　of　our　approach　in　terms　of　robustness　and　details　preservation.