In　recent　years,　people＇s　daily　lives　have　become　inseparable　from　a　variety　of　electronic　devices,　especially　mobile　phones,　which　have　undoubtedly　become　necessity　in　people＇s　daily　lives.　In　this　paper,　we　are　looking　for　a　reliable　way　to　acquire　visual　quality　of　the　display　product　so　that　we　can　improve　the　user＇s　experience　with　the　display　product.　This　paper　proposes　two　major　contributions:　the　first　one　is　the　establishment　of　a　new　subjective　assessment　database　(DPQAD)　of　display　products＇　screen　images.　Specifically,　we　invited　57　inexperienced　observers　to　rate　150　screen　images　showing　the　display　product.　At　the　same　time,　in　order　to　improve　the　reliability　of　screen　display　quality　score,　we　combined　the　single　stimulation　method　with　the　stimulation　comparison　method　to　evaluate　the　newly　created　display　products＇　screen　images　database　effectively.　The　second　one　is　the　development　of　a　new　no-reference　image　quality　assessment　(IQA)　metric.　For　a　given　image　of　the　display　product,　first　our　method　extracts　27　features　by　analyzing　the　contrast,　sharpness,　brightness,　etc.,　and　then　uses　the　regression　module　to　obtain　the　visual　quality　score.　Comprehensive　experiments　show　that　our　method　can　evaluate　natural　scene　images　and　screen　content　images　at　the　same　time.　Moreover,　compared　with　ten　state-of-the-art　IQA　methods,　our　method　shows　obvious　superiority　on　DPQAD.