Frequentist and Bayesian inference for Gaussian-log-Gaussian wavelet   trees, and statistical signal processing applications
  We introduce new estimation methods for a sub-class of the Gaussian scale mixture models for wavelet trees by Wainwright, Simoncelli & Willsky that rely on modern results for composite likelihoods and approximate Bayesian inference. Our methodology is illustrated for denoising and edge detection problems in two-dimensional images. 
Robert Dahl Jacobsen and Jesper M{\o}ller
math.ST stat.ME stat.TH