We proposed a modified version of the PDTDFB for image denoising. Unlike the previous approach, the new FB provides an approximately tight-frame decomposition. Then we proposed the complex Gaussian scale mixture (CGSM) for modeling the distribution of complex directional wavelet coefficients. The statistical model is then used to obtain the denoised coefficients from the noisy image decomposition by Bayes least squares estimator. Performance of the denoised images using the PDTDFB is compared with the conventional transforms including the orthogonal wavelet, the contourlet and the steerable pyramid.The first row is the Lena image, and the second one is the Boat image. bution as shown in the second row of Fig. 6.7 with ... While the RP-PDF model precisely describes the histogram of relative phase with aH/H = 0.001. For both ... For only several images, the accuracy of the fitted fRP model approximates the von Mises.
|Title||:||Complex Directional Wavelet Transforms: Representation, Statistical Modeling and Applications|
|Publisher||:||ProQuest - 2008|