Deep　image　watermarking　still　faces　the　image　quality　degeneration　of　the　watermarked　and　recovered　watermark.　A　robust　watermarking　method,　SAW　is　proposed　to　embed　watermarks　in　an　imperceivable　way　and　improve　the　recovered　watermark.　It　uses　visual　structural　measurement,　which　provides　better　image　quality　supervision,　to　guide　the　watermark　embedding　process.　In　the　watermark　recovery,　SAW　introduces　the　spatial-channel　attention　module,　which　focuses　on　watermark　extraction.　Compared　with　UDH,　the　experimental　results　show　that　the　method　remains　robust　and　obtains　noticeable　image　quality　improvement　of　both　the　watermarked　image　and　the　watermark.　　©　2023　ACM.