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https://doi.org/10.1117/1.1426386
| Title: | Image deconvolution using wavelet-based regularization | Authors: | Shen, L. | Issue Date: | Jan-2002 | Citation: | Shen, L. (2002-01). Image deconvolution using wavelet-based regularization. Journal of Electronic Imaging 11 (1) : 5-10. ScholarBank@NUS Repository. https://doi.org/10.1117/1.1426386 | 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 wavelet-based regularization algorithm. The simulations shew 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. | Source Title: | Journal of Electronic Imaging | URI: | http://scholarbank.nus.edu.sg/handle/10635/103396 | ISSN: | 10179909 | DOI: | 10.1117/1.1426386 |
| Appears in Collections: | Staff Publications |
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