Virtual　reality　has　many　characteristics　such　as　multi-sensation,　interactivity,　and　presence.　Virtual　reality　images,　also　known　as　360-degree　panoramic　images,　provide　users　with　an　immersive　experience　and　have　been　widely　used　in　education,　medical,　military　and　many　other　fields　in　recent　years.　360-degree　panoramic　images　have　high　resolution　and　are　subject　to　varying　degrees　of　distortion　during　transmission　and　storage.　Therefore,　the　evaluation　of　virtual　reality　images　has　practical　significance.　To　this　end,　we　propose　a　method　for　evaluating　the　quality　of　images　in　the　new　CVIQD　database.　The　proposed　image　quality　assessment　model　is　developed　based　on　Haar　wavelet　and　Db4　wavelet　feature　extraction　and　fusion.　The　method　is　compared　with　a　single　wavelet　feature　extraction　method.　Experiments　show　that　the　method　has　better　performance.　©　Published　under　licence　by　IOP　Publishing　Ltd.