Due　to　the　noise　in　the　input　image,　the　ability　of　image　semantic　segmentation　may　deteriorate.　In　this　case,　enhancing　the　image　before　segmentation　can　be　helpful.　This　article　found　that　not　only　does　image　enhancement　help　solve　the　problem　of　segmentation　accuracy　decline　caused　by　noise,　but　also　pixelated　semantic　information　can　improve　image　enhancement　ability.　Therefore,　this　article　proposes　a　fast　single-image　processing　method　that　combines　image　semantic　segmentation　with　image　enhancement.　A　segmentation-enhancement　alternating　boosting　network　is　designed.　The　network　consists　of　multiple　segmentation　and　enhancement　modules.　The　synergistic　effect　between　image　enhancement　and　semantic　segmentation　is　explored　through　this　alternating　boosting　network.　It　was　found　through　experiments　that　as　the　number　of　segmentation-enhancement　modules　increased,　both　enhancement　and　segmentation　performance　improved.　The　quality　of　the　enhanced　image　was　greatly　improved,　and　the　segmentation　accuracy　was　also　improved　to　be　close　to　that　of　a　clean　image.　This　indicates　that　segmentation　improves　image　enhancement　performance,　while　image　enhancement　helps　improve　segmentation　accuracy.　©　2023　IEEE.