Image denoise based on inter-scale correlations of Contourlet transform

Analyses of Contourlet coefficients indicate that inter-scale contourlet coefficients with respect to signals are highly correlated while the correlations associated with white noise are less or even do not exist. According to the property, an image denoising algorithm based on inter-scale correlations of Contourlet coefficients is proposed combined with threshold functions. Experimental results show that the proposed method outperforms the corresponding wavelet method in terms of both peak-signal- to-noise (PSNR) and visual quality, and it is especially adequate to the images with much texture.