Image denoising using Bayesian shrink threshold based on weighted adaptive directional lifting wavelet transform
Quan Liu, Lin Ni · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
This paper introduces an image denoising method based on weighted adaptive directional lifting wavelet transform(WADL). Using this method can restrain noise from image signal and protect the texture edge simultaneity. We partition the noisy image into texture area and smooth area, following using WADL to decompose the texture area and conventional lifting wavelet to decompose the smooth area. Bayesian Shrink Threshold is used to process the wavelet coefficient. Experiment results show a good efficient.