Depth-Image-Based-Rendering　(DIBR)　is　a　fundamental　technique　used　in　free　Viewpoint　Videos　(FVVs)　to　create　new　frames　from　existing　adjacent　frames,　which　can　decrease　the　cost　of　camera　set　up.　However,　it　is　unavoidable　to　introduce　geometric　distortions　in　the　synthesized　images　because　of　the　warping　and　rendering　operations　in　DIBR.　Only　a　few　Image　Quality　Assessment　(IQA)　methods　have　been　proposed　for　such　images　and　they　are　all　Full-Reference　(FR)　methods.　Nevertheless,　reference　DIBR-synthesized　image　is　not　accessible　in　real　application　scenarios,　so　No-Reference　(NR)　methods　are　more　valuable　than　FR　methods.　In　this　paper,　we　propose　an　effective　and　efficient　NR　method　based　on　Joint　Photographic　Experts　Group　(JPEG)　image　compression　technology.　The　proposed　method　utilizes　the　difference　of　the　amount　of　detail　information　between　undistorted　areas　and　geometry　distortions　areas,　which　can　be　achieved　by　comparing　original　images　and　JPEG　images.　Experiments　validate　the　superiority　of　our　no-reference　quality　method　as　compared　with　prevailing　full-,　reduced-　and　no-reference　models.　©　2018,　Springer　Nature　Singapore　Pte　Ltd.