An improved combined multiscale method for image denoising

This paper proposes an improved combined multiscale method for image denoising. It uses the adaptive Bayesian shrinkage on the Undecimated wavelet transform (UWT) coefficients to denoise homogeneous areas, and the hard thresholding on the Fast discrete curvelet transform (FDCT) coefficients to denoise areas with edges. At the same time, it adopted a simple method to fuse two filtered images by UWT and FDCT separately. The experimental results indicate that this method has better performance with easier implementation and lower computational complexity than the existing combined methods.