Depth-image-based-rendering　(DIBR)　plays　an　important　role　in　view　synthesis　for　free-viewpoint　videos.　The　warping　process　in　DIBR　causes　geometric　displacement,　which　distributes　intensively　around　edges,　and　the　subsequent　rendering　process　results　in　the　impairment　of　edges.　Traditional　2D　image　quality　metrics　are　limited　in　the　quality　evaluation　of　DIBR-synthesized　images.　In　this　paper,　we　present　a　reduced-reference　quality　metric　for　DIBR-synthesized　images　by　only　extracting　several　feature　values,　namely　multi-scale　Edge　Intensity　Similarity　(EIS).　The　original　and　synthesized　images　are　first　downsampled　to　generate　images　with　different　resolutions.　Then　an　edge　detection　process　is　conducted　on　each　scale　and　the　edge　intensity　is　calculated.　The　similarity　of　the　edge　intensity　between　each　downsampled　original　image　and　the　corresponding　synthesized　image　is　computed.　Finally,　the　average　similarity　is　calculated　as　the　quality　score　of　the　DIBR-synthesized　image.　Experiments　conducted　on　IRCCyN/IVC　DIBR　image　and　video　databases　demonstrate　that　the　proposed　method　overall　outperforms　traditional　2D　and　existing　DIBR-targeted　quality　metrics.