SEPARABLE-DENOMINATOR 2-DIMENSIONAL ADAPTIVE FILTERS WITH APPLICATIONTO NOISE-REDUCTION IN IMAGES

Authors
KAWAMATA M KAWAKAMI E HIGUCHI T
Citation
M. Kawamata et al., SEPARABLE-DENOMINATOR 2-DIMENSIONAL ADAPTIVE FILTERS WITH APPLICATIONTO NOISE-REDUCTION IN IMAGES, Applied mathematics and computation, 69(1), 1995, pp. 111-122
Citations number
9
Categorie Soggetti
Mathematics,Mathematics
Journal title
Applied mathematics and computation → ACNP
ISSN journal
00963003
Volume
69
Issue
1
Year of publication
1995
Pages
111 - 122
Database
ISI
SICI code
0096-3003(1995)69:1<111:S2AFWA>2.0.ZU;2-C
Abstract
In this paper, separable-denominator two-dimensional (SD-2D) adaptive filters are realized in the lattice-form and in the direct-form. The s tability test for these SD-2D adaptive filters can be simplified to th at for one-dimensional (1D) recursive filters. It is shown by the expe riments of the noise reduction in images that the SD-BD adaptive filte rs are superior to the nonadaptive SD-20 filters.