Image restoration by spatial clustering

Hiroto Shingait, Hiroyuki Matsunagat, Kiichi Urahama

    Research output: Contribution to journalArticlepeer-review


    A method based on clustering is presented for restoring and segmenting gray scale images. An optimum clustering obtained by a gradient method gives an image with gray scale values which vary smoothly in each segmented region. The method is also applied to restoration from sparsely sampled data.

    Original languageEnglish
    Pages (from-to)1000-1003
    Number of pages4
    JournalIEICE Transactions on Information and Systems
    Issue number7
    Publication statusPublished - Jan 1 1996

    All Science Journal Classification (ASJC) codes

    • Software
    • Hardware and Architecture
    • Computer Vision and Pattern Recognition
    • Electrical and Electronic Engineering
    • Artificial Intelligence


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