Title :
Convex MRF potential functions
Author :
Li, S.Z. ; Huang, Y.H. ; Fu, J.S.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
A general definition of convex potential functions is given for discontinuity-preserving MRF restoration models. This gives a class of Bayesian (image) MRF models which satisfy several desirable analytical and computational properties for regularization of ill-posed problems. The relationship between potential functions in MRF models and their discontinuity-preserving property is discussed and an important guideline is derived for devising potential functions in MRF models to be adaptive to discontinuities
Keywords :
Bayes methods; Markov processes; functions; image restoration; Bayesian image MRF models; adaptive interaction functions; computational properties; convex MRF potential functions; discontinuity preserving MRF restoration models; ill-posed problems; regularization; Additive noise; Bayesian methods; Computational efficiency; Degradation; Gaussian noise; Guidelines; Integrated circuit modeling; Markov random fields; Stability; Vectors;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.537473
