We introduce an adaptive wavelet coefficients shrinkage method and apply it to image denoising. Donoho's denoising
scheme which is based on thresholding the wavelet coefficients, eliminates too many wavelet coefficient without
considering the image's local characteristics. In this paper we propose a new shrinkage method which can modify the
magnitude of shrinkage by considering neighboring wavelet coefficients and variance of noise. So we can use more
wavelet decomposition levels than other wavelet shrinkage methods to recover the noisy images. The proposed method
outperforms the other methods given in literature, while its implementation and concept are both simple.
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