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Journal of Electronic Imaging

Image deconvolution using wavelet-based regularization
Author(s): Lixin Shen
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Paper Abstract

In this paper, we propose a wavelet-based regularization algorithm for image deconvolution problems whose blurring filter is a low pass filter of an M-band wavelet. The perfect reconstruction formula of this M-band wavelet is used to establish our waveletbased regularization algorithm. The simulations show that our proposed algorithm for image deconvolution performs better than that of the Wiener filter and some other wavelet-based deconvolution algorithms in terms of the improvement in signal-to-noise ratio.

Paper Details

Date Published: 1 January 2002
PDF: 6 pages
J. Electron. Imag. 11(1) doi: 10.1117/1.1426386
Published in: Journal of Electronic Imaging Volume 11, Issue 1
Show Author Affiliations
Lixin Shen, National Univ. of Singapore (Singapore)

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