A　novel　image　denoising　algorithm　based　on　an　adaptive　wavelet　threshold　and　the　bilateral　filter　was　proposed　in　view　of　the　drawbacks　of　traditional　wavelet　threshold　algorithm　for　image　noise　reduction　that　it　could　not　eliminate　the　noise　thoroughly,　and　might　remove　the　useful　information　and　blur　the　image　edge.　The　algorithm　selected　an　adaptive　wavelet　threshold　dependent　on　the　change　of　the　decomposition　scale　and　the　subband,　so　that　different　thresholds　in　different　decomposition　scales　and　different　subbands　for　eliminating　the　noise　overcame　the　lack　of　the　universal　threshold　and　enhanced　the　adaptability　of　the　algorithm.　In　order　to　preserve　the　image　edge,　a　bilateral　filter　was　used　after　the　wavelet　soft　threshold　function　denoising.　Simulation　results　show　that　this　algorithm　not　only　eliminates　the　noise　effectively　and　improves　the　visual　quality　of　the　image,　but　also　better　preserves　important　image　features,　such　as　the　edges　and　detail　information.　©,　2014,　Chinese　Association　for　System　Simulation.　All　right　reserved.