The　image　recorded　in　a　computer　vision　system　depends　on　three　factors:　the　physical　content　of　the　scene,　the　illumination　on　the　scene,　and　the　characteristics　of　the　camera.　The　goal　of　computational　color　reproduction　is　to　estimate　the　surface　reflectance　characteristics,　reset　the　intensities　of　the　color　channels　in　digital　images,　and　render　the　scene　colors　canonically.　Computational　color　reproduction　has　important　applications　such　as　object　recognition　and　scene　understanding,　as　well　as　image　reproduction.　This　paper　divides　color　reproduction　into　two　categories:　one　is　the　static　color　reproduction　where　the　illumination　condition　is　relatively　stable;　the　other　is　the　dynamic　color　reproduction　where　the　illumination　conditions　cannot　be　controlled.　We　try　to　summarize　and　compare　the　methods　respectively　for　the　two　categories.　The　three　factors　which　influence　the　color　values　of　digital　images　will　be　discussed　firstly,　then　typical　color　reproduction　methods　for　the　two　categories　will　be　introduced;　finally　results　and　conclusion　of　these　methods　will　be　given　at　the　end　of　this　paper.