Aiming at problem of low contrast

edge fog

exist noise of X-ray image

a new X-ray image enhancement algorithm based on wavelet transform and Fuzzy Theory is raised. Firstly

the wavelet transform is adopted to decompose the X-ray image. Secondly

the operator of generalized fuzzy enhancement is applied to low frequency coefficients to improve image contrast and local luminance

the high frequency coefficients are restrained noise by wavelet soft threshold and enhanced by a new enhancement operator. Finally

the inverse wavelet transform is applied to synthesis image. The results show that this algorithm can restrain noise effectively

improve image contrast and definition

which makes the image better.