To　avoid　the　spectral　distortion　of　SVR(synthetic　variable　ratio)　algorithm,　we　propose　an　improved　algorithm　by　using　a　low-pass　filter　and　histogram　matching　performance,　which　is　hence　named　SVR　based　on　low-pass　filter　and　histogram　matching　(SVRFM)　algorithm.　Two　subsets　from　the　IKONOS　image　of　Fuzhou,　representing　different　land　cover　types　were　used　as　test　data.　The　spectral　fidelity　and　the　ability　of　gaining　high　frequency　information　were　assessed　by　using　visual　and　statistical　analysis.　The　fused　images　were　compared　with　those　fused　using　the　SVR,　wavelet　transform,　pansharp,　ehlers　and　Gram-Schmidt　algorithms,　respectively.　The　results　show　that　the　spectral　fidelity　of　the　SVRFM　algorithm　is　generally　better　than　the　five　algorithms　compared.