Image Restoration And Medical Image Reconstruction Based On Generalized Fuzzy Gibbs Random Field

Image restoration is always an important branch in image processing. A lot of causes can lead to image degradation and work differently. To restore the image exactly, it is necessary to analyze the principle of degradation and set up the right mathematic models. In early research, limited by the computer technology, the models of restoration algorithm is too simple to reach a satisfying result. In the recent 20 years, great improvements in image restoration have been made with the development of computer hardware and an integrated system has come into being. Now there are many kinds of image restoration algorithm, but in fact, all the algorithms can divide into two kinds - linear or non-linear algorithm. The classical algorithms such as inverse filter, Wiener Filter (WF), Kalman Filter (KF) and Regularized Constrained Total Least Squares (RCTLS) are linear algorithms and the algorithms based on Maximum Entropy (ME), Maximum a Posterior (MAP), Markov Random Field (MRF) or Gibbs Random Field (GRF) may belong to...