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On Choosing Wavelet Resolution in Image Deblurring
Sydney, Australia July 26-July 28
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGIV.2006.68International Conference on Computer ...
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Laurent Cavalier, University of Aix-Marseille 1, Australia
Marc Raimondo, University of Sydney, Australia
In wavelet deblurring of noisy images the finest resolution levels are key parameters which require fine tuning. In this paper we present a blockwise thresholding rule in the Fourier domain to derive near-optimal finest resolution levels for a large class of blurred-image scenarios. Numerical results based on the WaveD fast algorithm of [5] illustrate the improvement over the current WaveD setting.
Citation:
Laurent Cavalier, Marc Raimondo, "On Choosing Wavelet Resolution in Image Deblurring," cgiv, pp.177-181, International Conference on Computer Graphics, Imaging and Visualisation (CGIV'06), 2006
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