In order to improve the denoising performance of denosing method of lifting wavelet package gradual changing threshold selection and quantization,a denosing method of lifting wavelet package gradual changing threshold based on ant colony optimization was put forward. The deepness first combination tree was used as lifting wavelet package decomposing tree of the same state signals. In order to optimize the characteristic separability, a gradual changing threshold optimization mathematic model was set up. All the leafage nodes’ thresholds of the deepness first combination tree were optimized synchronically. According to the characteristics of the model, an ant colony method based on moving searching window was designed to resolve the model. The searching window began with the worst feasible solution area. With the searching results of the ant colony, the searching window was moved to preferable area. The simulation demonstrates that the denoising performance of the denosing method of lifting wavelet package gradual changing threshold is improved by the denoising method of gradual changing threshold based on ant colony optimization.