In　this　paper,　we　propose　three　improvements　in　the　quality　of　high-resolution　image　for　super-resolution　reconstruction　method　based　on　projections　onto　convex　sets　(POCS).　In　order　to　improve　the　blur　edge　caused　by　bilinear　interpolation,　the　wavelet　bi-cubic　interpolation　is　proposed　to　obtain　the　initial　image　estimation　for　reconstruction　algorithm　based　on　POCS.　The　point　spread　function　(PSF)　with　edge-preserving　property　is　proposed　to　reduce　the　amount　of　edge　Halo　in　reconstruction　result.　The　length-variable　relaxation　projection　parameter,　obtained　by　the　correlation　between　low-resolution　observation　frames　and　reference　frame,　is　adopted　to　reduce　motion　estimate　error.　Experiment　results　show　that　the　proposed　algorithm　effectively　reduces　the　amount　of　edge　halo　and　obviously　improves　the　quality　of　reconstructed　high-resolution　image.