Wavelet image denoising is an important method of image denoising.Recently

many different schemes of wavelet image denoising were proposed.Among these

NeighShrink suggested by G.Y.Chen et.al.has been proved very efficient.NeighShrink differs from traditional threshold methods in that it incorporates neighboring coefficients when shrinking wavelet coefficients

and thus avoids killing too much image details.In order to improve the visual quality of the denoised image

a new wavelet image denoising method

namely enhanced NeighShrink(ENS)

is proposed in this paper based on the NeighShrink scheme.By changing the way to calculate the shrinkage factor for the wavelet coefficient

ENS achieves statistically better results than original NeighShrink method in denoising. Moreover

by introducing an extra parameter P in our wavelet scale dependent shrinkage factor calculation scheme

ENS can be used to enhance image details while denoising the image.This feature can be used to improve the visual quality of the image

since the original NeighShrink method

like many other schemes

shrinks all wavelet coefficients

which will incur the loss of the image details to some extent.Experimental results show that ENS can achieve better results in both denoising and enhancing of image details than the traditional soft threshold and NeighShrink methods.