Due　to　the　poor　performance　of　the　traditional　interpolation　algorithms　in　terms　of　the　video　image　scaling　effect　and　the　low　algorithm　complexity　required　by　existing　hardware　implementations,　a　scaling　algorithm　based　on　wavelet　reconstruction　and　polyphase　filtering　implementation　is　proposed.　The　method　first　extracts　the　pre-generated　weight　coefficients　according　to　the　scaling　requirements　that　including　scaled　image　quality,　size,　and　processing　speed.　Furthermore,　the　filter　coefficients　are　interpolated　with　the　source　image　pixel　points　mapped　by　the　target　image　through　a　polyphase　filter.　Moreover,　the　resulting　interpolated　image　is　selectively　decomposed　and　reconstructed　by　Haar　wavelet　transform　to　generate　super-resolution　images.　The　experimental　results　show　that　the　algorithm　improves　the　scaling　quality　of　the　images　both　subjectively　and　objectively,　while　enhancing　the　processing　speed　of　the　images　and　achieving　non-integer　scaling.　　©　COPYRIGHT　SPIE.　Downloading　of　the　abstract　is　permitted　for　personal　use　only.