An Image Denoising Threshold Estimation Method
Mantosh Biswas · 2013
Abstract – In this paper, we propose an image denoising threshold method that exploits the subband dependency of the wavelet coefficients to estimate the signal variance using the local neighboring coefficients. The VisuShrink, SureShrink, and BayesShrink denoising methods are important methods for denoising, but these methods remove too many coefficients, leading to poor image quality. The proposed method retains the modified coefficients significantly that result good visual quality. The experimental results show that our method outperforms the VisuShrink, SureShrink, and BayesShrink denoising methods.