Efficient wavelet-based image denoising algorithm

Characterising the statistics of wavelet coefficients is a critical issue i n image compression and denoising. Many powerful approaches have been inves tigated, but accurate modelling suffers From high computation complexity. I n this work an efficient adaptive algorithm to capture the dependency of bo th inner and inter scale wavelet coefficients is proposed. Experimental res ults show that compared with the algorithm in [3], in the case of higher no ise variance, greater PSNR performance gain may be obtained.