Separable-denominator two-dimensional adaptive filters with application to noise reduction in images

Masayuki Kawamata, Eiichiro Kawakami, Tatsuo Higuchi

研究成果: Article査読

抄録

In this paper, separable-denominator two-dimensional (SD-2D) adaptive filters are realized in the lattice-form and in the direct-form. The stability test for these SD-2D adaptive filters can be simplified to that for one-dimensional (1D) recursive filters. It is shown by the experiments of the noise reduction in images that the SD-2D adaptive filters are superior to the nonadaptive SD-2D filters.

本文言語English
ページ(範囲)111-122
ページ数12
ジャーナルApplied Mathematics and Computation
69
1
DOI
出版ステータスPublished - 1995 4月

ASJC Scopus subject areas

  • 計算数学
  • 応用数学

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