Image denoising with window shrink wavelet coefficients by adaptive threshold
Yifan Zhao, Jiuxian Li, Liangzheng Xia · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007
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.