Efficient wavelet-based image denoising algorithm
Characterising the statistics of wavelet coefficients is a critical issue in image compression and denoising. Many powerful approaches have been investigated, but accurate modelling suffers from high computation complexity. In this work an efficient adaptive algorithm to capture the dependency of both inner and inter scale wavelet coefficients is proposed. Experimental results show that compared with the algorithm in , in the case of higher noise variance, greater PSNR performance gain may be obtained.
