The　360-degree　spherical　images/videos,　also　called　Virtual　Reality　(VR)　images/videos,　can　provide　immersive　experience　of　the　real-world　scenes　in　some　specific　systems.　This　makes　it　widely　employed　in　concerts/sports　events　live　and　VR　movies.　However,　it　is　difficult　to　transport,　compress　or　store　VR　images/videos　due　to　their　high　resolution.　So　it　is　significant　to　research　how　the　popular　coding　technologies　influence　the　quality　of　VR　images.　To　this　aim,　this　paper　carries　out　subjective　quality　evaluation　of　compressed　VR　images　and　examines　the　correlation　performance　of　popular　objective　quality　measures　in　accordance　with　the　aforesaid　subjective　ratings.　We　first　establish　a　Compressed　VR　Image　Quality　Database　(CVIQD),　which　includes　five　source　VR　images　and　associated　165　compressed　images　under　three　prevailing　coding　technologies.　The　Single-Stimulus　(SS)　method　is　exploited　to　collect　the　subjective　scores　from　20　inexperienced　viewers.　Next,　we　implement　10　classical　and　recent　objective　quality　metrics　on　the　CVIQD　database　and　compute　the　correlation　between　each　above　quality　metric　and　subjective　assessment　in　terms　of　five　commonly　used　performance　indices.　Experimental　results　reveal　that　multi　scale　based　MS-SSIM　and　ADD-SSIM　models　have　lead　to　high　correlation　with　human　visual　perception.