Title :
Image restoration using recursive Markov random field models driven by Cauchy distributed noise
Author :
Chang, Yuh-Chin ; Kadaba, Srinivas R. ; Doerschuk, Peter C. ; Gelfand, Saul B.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fDate :
3/1/2001 12:00:00 AM
Abstract :
A recursive restoration algorithm based on a Markov random field model driven by Cauchy noise is described and demonstrated to provide better edge preservation than similar algorithms using Gaussian or Laplacian noises without increased computational cost.
Keywords :
Markov processes; autoregressive processes; image restoration; random noise; recursive estimation; recursive filters; Cauchy distributed noise; Cauchy noise; Markov random field models; edge preservation; image restoration; recursive restoration algorithm; Computational efficiency; Digital communication; Distributed computing; Filters; Gaussian noise; Image restoration; Image segmentation; Laplace equations; Markov random fields; Signal processing algorithms;
Journal_Title :
Signal Processing Letters, IEEE
