As　Retinex　algorithm　usually　has　the　problems　of　halo　artifacts,　color　distortion,　high　noises　and　poor　details　in　a　low-illumination　night　color　image,　this　paper　proposes　a　novel　Retinex　enhancement　algorithm　based　on　Markov　Random　Fields　(MRF)　to　enhance　the　visibility　of　single　image.　This　algorithm　uses　the　linear　guided　filter　to　estimate　image　illumination　component　in　HSV(Hue　Saturation　Value)　color　space.　The　reflection　image　can　be　obtained　through　MRF　model,　and　the　night　color　image　can　be　enhanced　after　color　restoration　and　brightness　correction.　Compared　with　the　original　images,　the　experimental　results　demonstrate　that　the　mean　value　(luminance)　of　image　restored　by　proposed　method　has　increased　more　than　2　times,　and　the　evaluation　indexes　such　as　standard　deviation,　entropy,　the　Peak　Signal　and　Noise　Ratio(PSNR)　and　so　on　have　increased　more　than　5%.　Compared　with　other　Retinex　algorithms,　the　effect　of　enhancement　of　this　algorithm　is　more　remarkable　in　halo　effect　elimination,　noise　suppression　and　detail　preservation.