Focusing　on　the　problem　of　multi-focus　image　fusion,　a　wavelet　image　fusion　method　based　on　Multi-scale　Edge　Detection　is　proposed.　With　the　characteristics　of　detecting　multi-directional　edge　and　exiguous　edge　by　Frei-chen　template,　this　paper　put　forward　fusion　fuel　based　on　the　edge　activity　measurement　of　wavelet　coefficients.　The　specific　integration　process　is　to　make　wavelet　decomposition　for　two　multi-focus　images　to　obtain　respective　high-frequency　and　low-frequency　coefficients　and　calculate　corresponding　edge　active　wavelet　measurement　of　each　wavelet　coefficient,　which　is　quadratic　sum　of　the　projections　respectively　from　edge　subspace　and　line　subspace　of　Frei-chen　template.　The　article　adopts　root　mean　square　error　and　standard　deviation　as　objective　evaluation　standard　and　combines　subjective　evaluation　to　compare　the　fusion　methods　proposed　respectively　by　this　article　and　other　two　methods.　Results　demonstrate　the　fused　image　obtained　by　the　method　proposed　by　the　paper　has　clean　image　and　better　quality.　©　2010　IEEE.