To　tackle　the　problem　of　inadequate　performance　in　data　processing　on　existing　embedded　systems,　in　this　paper,　we　present　a　well-optimized　parallel　image　processing　scheme　based　on　the　NEON　acceleration　engine.　It　targets　at　the　Prewitt　operator,　a　classical　image　edge　processing　method　with　good　properties　including　high　precision　and　strong　anti-noise　ability.　However,　it　requires　a　high　computational　cost　and　leads　to　insufficient　real-Time　processing　capability.　In　this　work,　by　exploring　the　parallel　processing　characteristics　of　the　NEON　engine,　we　concatenate　R,　G,　B　three-channel　data　in　parallel,　optimize　the　data　processing　schedule　of　the　Prewitt　operator　and　implement　the　real-Time　video　processing　on　Xilinx＇s　Zynq-7010　all　programmable　system-on-chip　(APSOC)　development　platform.　Experimental　results　demonstrate　that　the　proposed　design　can　achieve　approximate　4　times　speedup　compared　to　a　regular　design　using　ARM　C　library.　It　is　almost　2　orders　of　magnitude　faster　than　using　ARM　Coretex-A9　without　NEON.　©　2018　IEEE.