1 January 2002 Image deconvolution using wavelet-based regularization
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J. of Electronic Imaging, 11(1), (2002). doi: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 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.
Lixin Shen, "Image deconvolution using wavelet-based regularization," Journal of Electronic Imaging 11(1), (1 January 2002). http://dx.doi.org/10.1117/1.1426386
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KEYWORDS
Wavelets

Deconvolution

Linear filtering

Signal to noise ratio

Reconstruction algorithms

Filtering (signal processing)

Image deconvolution

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