DocumentCode
1471049
Title
Multiple resolution image restoration
Author
Liew, A. W C ; Law, N.F. ; Nguyen, D.T.
Author_Institution
Tasmania Univ., Hobart, Tas., Australia
Volume
144
Issue
4
fYear
1997
fDate
8/1/1997 12:00:00 AM
Firstpage
199
Lastpage
206
Abstract
A new algorithm for solving the deconvolution problem is proposed. This algorithm uses the wavelet transform to induce a multiresolution approach to deconvolve a blurred signal/image. The low resolution part of a signal/image is restored first and then high resolution information is added successively into the estimation process. Two different ways to incorporate the image space positivity constraint, namely loosely and strictly, are discussed. In to most restoration algorithms, the positivity constraint is applied directly in the transformed domain. The performance of the algorithm in the presence of noise is also investigated
Keywords
deconvolution; image resolution; image restoration; noise; wavelet transforms; algorithm; algorithm performance; blurred image; blurred signal; deconvolution problem solution; estimation process; high resolution information; image space positivity constraint; multiple resolution image restoration; noise; restoration algorithms; transformed domain; wavelet transform;
fLanguage
English
Journal_Title
Vision, Image and Signal Processing, IEE Proceedings -
Publisher
iet
ISSN
1350-245X
Type
jour
DOI
10.1049/ip-vis:19971045
Filename
617071
Link To Document