For　the　problem　of　underwater　image　de-noising,　a　new　method　based　on　adaptive　wavelet　combining　adaptive　threshold　selection　with　adaptive　output　of　the　threshold　function　is　proposed.　Considering　the　underwater　image　with　low　SNR,　contrast　imbalance,　and　poor　image　quality,　first　some　pre-processing　should　be　done　before　wavelet　threshold　de-nosing.　Then,we　adopt　adaptive　wavelet　combining　adaptive　threshold　selection　with　adaptive　output　of　the　threshold　function　for　the　image　de-noising.　Finally　the　simulation　results　show　that　the　proposed　method　not　only　removes　noise　effectively,　improves　image　output　peak　signal-to-noise　ratio　(PSNR),　but　also　yields　superior　vision　quality　and　embodies　the　superiority　of　wavelet　de-noising.　©　2014　IEEE.