An investigation into sub-band adaptive filtering of digital images

Author

Smith, C. ; Campbell, D.R.

Author_Institution

Paisley Univ., UK

Volume

1

fYear

1997

fDate

14-17 Jul 1997

Firstpage

322

Abstract

Digital images can become corrupted from various sources including sensor noise, communication channels and atmospheric interference. Signal processing techniques have been used in an attempt to improve the signal quality. Single-channel frequency domain filters (e.g. lowpass, highpass) cannot discriminate between signal and noise when their spectra overlap, thus signal distortion may be severe. Sub-band adaptive filtering (SBAF) has displayed advantages over full-band adaptive filtering (FBAF) when applied to speech processing and echo cancellation, and preliminary results by Smith and Campbell (see Proceedings of the fifth IEE International conference in Image Processing and its Applications, p.722-26, 1995) suggests benefits can be gained by applying SbAF to the two-channel image restoration problem

Keywords

image restoration; adaptive LMS algorithm; atmospheric interference; communication channels; digital images; dual channel filterbank; full-band adaptive filtering; sensor noise; signal distortion; signal processing techniques; signal quality; subband adaptive filtering; two-channel image restoration;

fLanguage

English

Publisher

iet

Conference_Titel

Image Processing and Its Applications, 1997., Sixth International Conference on

Conference_Location

Dublin

ISSN

0537-9989

Print_ISBN

0-85296-692-X

Type

conf

DOI

10.1049/cp:19970908

Filename

615046