Restoration of noisy image sequences using Markov random fields

Wen Jyi Hwang*, Ching Jiang Huang, Yeong Cherng Lu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


In this paper, we present an effective three-dimensional (3-D) image restoration algorithm for image sequences. In the algorithm, the image sequences are modeled with 3-D Markov random fields. Based on the model, the noise reduction is performed using the iterated conditional mode (ICM) technique. As compared with the existing two-dimensional (2-D) image restoration algorithms, the 3-D restoration algorithm is found to enjoy a significantly better performance.

Original languageEnglish
Pages (from-to)99-105
Number of pages7
JournalJournal of the Chinese Institute of Electrical Engineering, Transactions of the Chinese Institute of Engineers, Series E/Chung KuoTien Chi Kung Chieng Hsueh K'an
Issue number1
Publication statusPublished - 1998 Feb
Externally publishedYes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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