Microarray Image Denoising using Spatial Filtering and Wavelet Transformation

A. Mastrogianni, E. Dermatas, A. Bezerianos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


As the aim of using microarray technology is to try to understand fundamental aspects of growth and development as well as to explore the underlying genetic causes of many human diseases, the restoration of the ideal microarray image's properties in a noisy image, is an urgent priority of the image processing procedure. The scope of this work is to describe and evaluate different methodologies for noise reduction in microarray images. In this paper, two basic approaches to microarray image denoising: spatial filtering methods and transform domain filtering methods are presented. The image denoising, with spatial filtering techniques as well as hard and soft thresholding of wavelet coefficients have been tested in microarray images of gene expression profiles of human sarcoma using the Stanford MicroArray Database.

Original languageEnglish (US)
Title of host publication13th International Conference on Biomedical Engineering - ICBME 2008
Number of pages4
StatePublished - 2009
Externally publishedYes
Event13th International Conference on Biomedical Engineering, ICBME 2008 - , Singapore
Duration: Dec 3 2008Dec 6 2008

Publication series

NameIFMBE Proceedings
ISSN (Print)1680-0737


Other13th International Conference on Biomedical Engineering, ICBME 2008


  • image denoising
  • microarray
  • spatial filters
  • wavelet

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering


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