Image deconvolution using wavelet-based regularization

Lixin Shen

doi:10.1117/1.1426386

1 January 2002 Image deconvolution using wavelet-based regularization

Lixin Shen

Journal of Electronic Imaging, Vol. 11, Issue 1, (January 2002). https://doi.org/10.1117/1.1426386

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.

©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

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

Published: 1 January 2002

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