MRF reconstruction based on the Markov network

作者：Xue Cui Hong; Yu Ming^*; Yang Yu Hao; Yan Gang; Jia Chao

来源：Journal of Jilin University (Engineering and Technology Edition), 2013, 43(SUPPL.1): 406-409.

• Bayesian theory
• Markov networks
• Maximum A posteriori probabilities
• Project onto convex sets
• Super resolution

According to the problem of keeping image border and details weakly by MAP algorithm, a new method which mixed MAP and POCS for image super resolution based on Markov Network is introduced. The MAP operator is introduced to the POCS algorithm as a convex set of constraints. The POCS algorithm can be a good complementary to the MAP algorithm to overcome their original defect. Experiment shows that the proposed algorithm has better image restoration effect than the traditional algorithm.

• 出版日期2013
• 单位河北工业大学