A 2-D filtering structure with neural networks for Gaussian noise cancellation and EDGE preservation in images

Justo Seiji Oshino-Ortiz, Masayuki Kawamata

Research output: Contribution to conferencePaperpeer-review

Abstract

In this paper, we propose a structure of a two-dimensional adaptive digital filter for cancellation of white Gaussian noise in images and edge preservation. This structure is composed by three parts. We use a two-dimensional filtering algorithm to avoid disturbance due to one-dimensional filtering, a neural network to update the filter coefficients, and a variable-size filtering window to preserve edges. Experimental results show that a filter with the proposed two-dimensional structure cancels the white Gaussian noise and preserves the edges of the image better than those filters based on a one-dimensional filtering algorithm or one that does not consider the edges.

Original languageEnglish
PagesIII61-III64
Publication statusPublished - 2002 Dec 1
Event2002 45th Midwest Symposium on Circuits and Systems - Tulsa, OK, United States
Duration: 2002 Aug 42002 Aug 7

Other

Other2002 45th Midwest Symposium on Circuits and Systems
CountryUnited States
CityTulsa, OK
Period02/8/402/8/7

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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