ESTIMATION, DENOISING, AND DECONVOLUTION

Image deconvolution using wavelet-based regularization

[+] Author Affiliations
Lixin Shen

National University of Singapore, Department of Mathematics, 2 Science Drive 2, 117543?Singapore, Republic of Singapore E-mail: matslx@nus.edu.sg

J. Electron. Imaging. 11(1), 5-10 (Jan 01, 2002). doi:10.1117/1.1426386
History: Received Aug. 4, 2000; Revised Apr. 25, 2001; Accepted Aug. 7, 2001
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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 wavelet-based 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. © 2002 SPIE and IS&T.

© 2002 SPIE and IS&T

Citation

Lixin Shen
"Image deconvolution using wavelet-based regularization", J. Electron. Imaging. 11(1), 5-10 (Jan 01, 2002). ; http://dx.doi.org/10.1117/1.1426386


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