The　digital　image　inpainting　technology　based　on　partial　differential　equations　(PDEs)　has　become　an　intensive　research　topic　over　the　last　few　years　due　to　the　mature　theory　and　prolific　numerical　algorithms　of　PDEs.　However,　PDE　based　models　are　not　effective　when　used　to　inpaint　large　missing　areas　of　images,　such　as　that　produced　by　object　removal.　To　overcome　this　problem,　in　this　paper,　a　two-phase　image　inpainting　method　is　proposed.　First,　some　edges　which　cross　the　damaged　regions　are　located　and　the　missing　parts　of　these　edges　are　fitted　by　using　the　cubic　spline　interpolation.　These　fitted　edges　partition　the　damaged　regions　into　some　smaller　damaged　regions.　Then　these　smaller　regions　may　be　inpainted　by　using　classical　PDE　models.　Experiment　results　show　that　the　inpainting　results　by　using　the　proposed　method　are　better　than　those　of　BSCB　model　and　TV　model.