Image restoration by spatial clustering

Hiroto Shingait, Hiroyuki Matsunagat, Kiichi Urahama

Research output: Contribution to journalArticlepeer-review

Abstract

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
VolumeE79-D
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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