A new denoising algorithm based on adaptive threshold is proposed.First

the threshold function is continuous and has infinite rank continuous derivative

fully reflects the energy distribution of wavelet coefficients. Whats more

the function expression is simple and easy to calculate

so it is suitable for various mathematical processing.Secondly

the correlation and procedural of wavelet coefficients in decomposition process is considered to the thresholds selection

which will reduce the false positive probability of noises and will be more practical. Simulation results show that the new algorithm not only has smaller computational cost than traditional algorithms

and achieves a higher PSNR and smaller MSE.It can remove the noise more effectively.