Subsurface　scatters　are　sometimes　masked　by　reflectors　in　seismic　migration　images,　because　the　diffractions　are　much　weaker　in　energy　than　the　reflections.　We　propose　a　novel　imaging　method,　named　reflection-damped　plane-wave　least-squares　reverse　time　migration　(RD_PLSRTM),　to　enhance　the　scatters　in　the　migration　image.　We　formulate　seismic　imaging　as　an　inverse　problem　that　minimizes　a　weighted　residual　between　the　modeled　and　observed　seismic　data.　In　the　proposed　approach,　we　use　the　plane-wave　destruction　filter　to　separate　the　diffractions　from　the　reflections　in　the　data　residual.　A　reflection-damped　weighting　matrix　is　then　used　to　govern　the　fitting　of　the　diffractions　and　the　reflections,　and　therefore　emphasize　the　updates　of　the　scatters.　The　inverse　problem　is　finally　solved　by　using　an　iteratively　reweighted　least-squares　(IRLS)　algorithm.　The　proposed　method　provides　a　generalized　formulation　that　could　be　reduced　to　conventional　PLSRTM　and　PLSRTM　of　diffractions　(PLSRTM_D)　by　using　specific　damping　factors.　We　conduct　imaging　tests　on　synthetic　and　field　data　that　prove　the　superiority　of　the　proposed　method　over　PLSRTM　in　imaging　deep　scatters　and　subsalt　scatters.　Compared　with　PLSRTM_D,　it　could　produce　high-quality　images　of　not　only　the　scatters　but　also　the　reflectors.