With　the　prevalence　of　digital　products　like　cellphone,　tablet　and　personal　computer,　the　screen　content　image　(SCI)　consisting　of　text,　graphic,　and　natural　scene　picture　becomes　a　significant　media　in　various　communication　scenarios.　Consequently,　we　proposed　a　reduced-reference　quality　metric　dedicated　for　SCI.　The　main　contribution　includes　2　aspects　:　1)　we　innovatively　proposed　a　layer-based　segmentation　method　to　divide　SCI　into　text　layer　and　pictorial　layer;　2)　we　designed　respective　quality　metrics　dedicated　for　text　and　pictorial　layers　with　a　novel　pooling　strategy　considering　human　visual　saliency　for　SCI.　Furthermore,　exhaustive　experimental　results　indicate　that　the　proposed　metric　is　highly　comparative　compared　with　state-of-the-art　full-reference　quality　metrics.