Improved threshold for image de-noising based on NeighShrink
Feiran Yang · Computer Engineering and Applications Journal · 2011
Image de-noising is a classical topic and a difficulty in image processing.A method based on the shrinkage of neighboring wavelet coefficients called NeighShrink shows more effective results than VisuShrink,but its disadvantage is to use a suboptimal universal threshold for all sub-bands.In this paper,a new method is presented for threshold selection based on the analysis of variation of wavelet coefficients and NeighShrink.The new threshold is scale adaptive and final experiments prove the availability of the new method,show that it improves the visual effect and outbalanced VisuShrink and NeighShrink on indices PSNR and MSE.