Electrowetting　electronic　paper　employs　a　subtractive　color　mixing　system　for　color　display,　which　results　in　a　smaller　color　gamut　and　potential　color　distortion.　Additionally,　it　relies　on　ambient　light＇s　diffuse　reflection,　leading　to　insufficient　brightness.　To　address　these　issues,　this　paper　proposes　a　color　space　transformation　and　image　adaptive　enhancement　algorithm　for　color　electrowetting.　The　algorithm　converts　the　image　from　the　RGB　color　space　to　the　HSV　space,　using　CLAHE　to　evenly　distribute　saturation　and　improve　color　performance.　The　luminance　channel　is　enhanced　through　guided　filtering　combined　with　an　improved　Retinex　algorithm,　preserving　detail　and　edge　information,　and　ensuring　the　electrowetting　display　maintains　realistic　visual　effects　under　the　same　lighting　conditions.　Experimental　results　show　that　the　algorithm　improves　PSNR,　SSIM,　FSIM,　and　FSIMc　by　19%,　10.8%,　19.19%,　and　19.54%,　respectively.　This　algorithm　significantly　enhances　the　display　performance　of　electrowetting　electronic　paper,　laying　a　solid　foundation　for　its　commercialization.　©　2025　Chinese　Academy　of　Sciences.　All　rights　reserved.