Multiscale filtering of machined surface image based on static wavelet decomposition

Machined surface images are disturbed by white noise due to vibration and relativity of noise echo during the machine process. In order to weaken the influence of noise,we propose a new self-reliant threshold filtering based on static wavelet decomposition,i.e. decomposing the image into the static wavelet field at first,then suppressing the wavelet coefficients of noise to zero. The method is used in the noise filtering of a machined surface image and is compared with the filtering method based on Mallat decomposition and three other classical image filtering methods. The result shows that the presented approach has the advantages of both eliminating noise and preserving nicety texture of image.