Abstract: This paper proposed a new image denoising method based on the DoublcDensity Complex Wavelet I}ransform. The proposed algorithm uses the Double-Density Complex Wavelet Transform to decompose the denosied image,and permutes the decomposition coefficient to stress the edge information. The I3ivariate model under the maximum estimate of 13aycsian can exploit the intra scale and inter-scale corrclations of coefficients. Compared with some current outstanding denoising methods,the simulation results and analysis show that the proposed algorithm obviously outperforms in both Pcak Signal-to-Noise Ratio(PSNR) and visual quality, and effectively preserves detail and texture information of original images.

Key words: Image denosing, Double-density complex wavelet transform, Bayesian estimation, Bivariate model