Study on filtered maximum entropy image restoration of limited angle diffraction tomography

Kazuhiko Hamamoto, Tsuyoshi Shiina, Toshihiro Nishimura

Research output: Contribution to journalConference articlepeer-review

Abstract

In diffraction tomography it is important problem how accurate image under limited angle condition can be reconstructed. In this paper filtered maximum entropy image restoration method is proposed. In this technique high-pass filter is applied to MEM+IR which we have proposed to emphasize the edge and prevent a decline in quantity of reconstructed image. By using this method simulation and experimental results show that it is possible to improve the quantity of image better compared with using MEM+IR.

Original languageEnglish
Pages (from-to)573-574
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume17
Issue number1
Publication statusPublished - 1995
Externally publishedYes
EventProceedings of the 1995 IEEE Engineering in Medicine and Biology 17th Annual Conference and 21st Canadian Medical and Biological Engineering Conference. Part 2 (of 2) - Montreal, Can
Duration: 1995 Sep 201995 Sep 23

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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