Wavelet image denoising has been well acknowledged as an important method of image denoising. Based on many literatures of wavelet denoising

this paper attempts to make an overview of wavelet image denoising. First

it describes wavelet denoising in two ways

one from its mathematics background

the other from filter theory of signal processing. Then this paper classifies wavelet image denoising methods into three classes that includes shrinkage based method

projection based method

and correlation based method

and describes them respectively. Considering the important role that coefficient model plays in a wavelet based denoising scheme

this paper also discusses three kinds of wavelet coefficient model

including intra level model

inter level model

and hybrid model that combine the first two together. Usage of simultaneous wavelet transformations

the relationship between wavelet image denoising and wavelet image compression and wavelet denoising under different noise models are also covered here in order to give an overview as complete as possible. At the end

the future trend of wavelet image denoising is pointed out

though

in personal opinion.