With　the　fast　development　and　application　of　virtual　reality　(VR),　panoramic　images　have　been　a　hot　research　topic　and　been　widely　applied　in　many　areas.　Usually,　the　panoramic　images　are　generated　by　image　stitching　with　images　captured　by　cameras　set　in　360　degrees.　However,　the　image　captured　by　the　traditional　fish-eye　lens　has　serious　distortion.　Many　traditional　image　fusion　algorithms　are　not　suitable　for　this　kind　of　images.　In　order　to　handle　this　problem,　we　propose　a　method　based　on　multi-band　image　blending　to　realize　the　real-time　stitching　of　six-way　fish-eye　video,　and　finally　generates　output　video.　The　principle　of　the　stitching　system　is　to　decompose　the　video　into　frames.　After　image　alignment,　multi-band　fusion　method　is　used　to　fuse　the　high-frequency　features,　which　makes　the　degree　of　fusion　in　the　image　area　smaller　and　avoids　duplication　in　the　mosaic　area.　Different　from　the　convolution　pyramid　stitching　algorithm　which　does　not　depend　too　much　on　the　overlap　area,　the　proposed　algorithm　retains　more　image　details　and　reduces　the　distortion.　Experimental　results　in　terms　of　both　subjective　and　objective　quality　show　that　the　system　can　stitch　panoramic　video　efficiently,　and　the　output　image　has　no　stitching　artifact　in　the　overlapping　area.