Unmanned　Aerial　Vehicles　(UAV)　digital　images　are　often　badly　degraded　by　noise　during　dynamic　acquisition　and　transmission　process.　Denoising　is　very　important　and　difficult　for　UAV-vision　Guided,　because　natural　scene　image　is　complicated　and　having　lots　of　the　edges　and　texture　details.　The　image　denoising　and　enhancement　algorithm　based　on　adaptive　dual-tree　discrete　wavelet　packets(ADDWP)　which　combine　the　dual-tree　discrete　wavelet　packets　and　evolutionary　programming　is　proposed　in　this　paper.　In　order　to　reduce　the　noise　and　enhance　detail　for　a　UAV　image　by　the　EP(evolutionary　programming)　in　wavelet　domain(.)　Firstly,　The　de-noising　threshold　is　estimated　by　EP　in　the　wavelet　domain.　Secondly,　Noise　is　reduced　in　the　fine　high-frequency　sub-bands　of　each　decomposition　level,　respectively,　so　that　the　maximum　signal-noise　ratio　can　be　obtained　in　the　high-frequency　subbands,　respectively.　Thirdly,　The　enhancement　parameters　is　estimated　by　EP　in　the　wavelet　domain,　and　the　detail　is　adaptive　enhanced　by　an　improved　non-linear　gain　operator　in　the　coarse　high-frequency　subbands　of　each　decomposition　level,　respectively.　The　experiment　result　improves　our　algorithm　is　efficient.