An　efficient　method　for　the　unmanned　aerial　vehicle　(UAV)　image　denoising　is　proposed　by　combining　an　adaptive　wavelet　thresholding　denoising　and　the　image　enhancement　method　in　this　paper.　This　method　is　aimed　at　improving　the　effect　of　the　wavelet　thresholding　denoising　method　and　enhancing　the　edge　of　the　image.　An　adaptive　threshold　value　which　changes　with　the　change　of　the　decomposition　scale　and　the　direction　of　the　subband　is　selected　for　denoising.　After　wavelet　denoising,　the　image　enhancement　method　is　used　for　enhancing　the　edge　of　the　image.　Experimental　results　show　that,　compared　with　the　other　methods,　the　proposed　method　yields　bigger　peak　signal-to-noise　ratio　and　superior　visual　image　quality-measured　by　universal　image　quality　index.　It　also　retains　more　edges　and　details　of　the　image.