Depth-image-based-rendering　(DIBR)　is　a　popular　technique　for　view　synthesis.　The　rendering　process　mainly　introduces　artifacts　around　edges,　which　leads　to　degraded　quality.　This　letter　proposes　a　DIBR-synthesized　image　quality　metric　by　measuring　the　Statistics　of　both　Edge　Intensity　and　Orientation　(SEIO).　The　Canny　operator　is　first　used　to　detect　edges.　Then　the　gradient　maps　are　calculated,　based　on　which　the　intensity　and　orientation　of　the　edge　pixels　are　computed　for　both　the　reference　and　synthesized　images.　The　distance　between　the　two　intensity　histograms　and　that　between　the　two　orientation　histograms　are　computed.　Finally,　the　two　distances　are　pooled　to　obtain　the　overall　quality　score.　Experimental　results　demonstrate　the　advantages　of　the　presented　method.