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Image restoration using recursive Markov random field models driven by Cauchy distributed noise

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4 Author(s)
Yuh-Chin Chang ; Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA ; Kadaba, S.R. ; Doerschuk, P.C. ; Gelfand, S.B.

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.

Published in:

Signal Processing Letters, IEEE  (Volume:8 ,  Issue: 3 )