Title :
An extension of Geman and Reynolds´ approach to constrained restoration and the recovery of discontinuities
Author :
Hurn, Merrilee ; Jennison, Christopher
Author_Institution :
Sch. of Math. Sci., Bath Univ., UK
fDate :
6/1/1996 12:00:00 AM
Abstract :
Geman and Reynolds (ibid., vol.14, 1992) present an approach to linear image restoration which provides for recovery of horizontal and vertical gray-level discontinuities from blurred and noisy observations. We extend their model and parameter selection method to include diagonal discontinuities. A hazard of this modeling approach is identified and addressed. We also comment on the truncated Gibbs sampler suggested in the paper
Keywords :
edge detection; image restoration; probability; simulated annealing; statistical analysis; Metropolis algorithm; constrained restoration; diagonal discontinuity; discontinuity recovery; gray-level discontinuities; linear image restoration; parameter selection; simulated annealing; statistical image reconstruction; truncated Gibbs sampler; Additive noise; Bayesian methods; Degradation; Hazards; Image reconstruction; Image restoration; Linear approximation; Pixel; Prototypes; Simulated annealing;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
