An improved threshold image denoising methold

Threshold method could effectively remove the niose in image denoising.But in traditional practice the hreshold is always fixed.The characteristic of every image subdomain is different after the wavelet transforms,so the value of δ should accord to the subdomains.That is to say δ is an adoptive value.And in such cases as discontinuities points,the Gibbs phenomena will appear.In order to avoid this phenomena,we first apply the method termed "cycle spinning" based on threshold wavelet and then use the tow methods to remove the image noise.According to the results of experiment,the proposed algorithm is much better than the condition deniosing methods.The RMSE of signal has been decreased substantially while the SNR has been increased.