Wavelet based methods for multiscale tomographic reconstruction
The authors combine wavelet bases with a natural-pixel type representation of an object, originally developed for incomplete data tomography problems, to construct "natural wavelet bases" for tomographic reconstruction. For the case of noisy projection data the authors use this multiscale framework to explicitly account for noise by calculating multiscale MAP estimates based on a certain self-similar prior.<<ETX>>