Restoration of noisy image sequences using Markov random fields

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

    Research output: Contribution to journalArticlepeer-review

    Abstract

    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
    Volume5
    Issue number1
    Publication statusPublished - 1998 Feb 1

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

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