Deblurring of Color Images Corrupted by Impulsive Noise

We consider the problem of restoring a multichannel image corrupted by blur and impulsive noise (e.g., salt-and-pepper noise). Using the variational framework, we consider the L 1 fidelity term and several possible regularizers. In particular, we use generalizations of the Mumford-Shah (MS) function...

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Veröffentlicht in:	IEEE transactions on image processing 2007-04, Vol.16 (4), p.1101-1111
Hauptverfasser:	Bar, L., Brook, A., Sochen, N., Kiryati, N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Applied sciences Approximation Artificial Intelligence Belts Byproducts Color Color image processing Colored noise Colorimetry - methods deblurring Deconvolution denoising Detection, estimation, filtering, equalization, prediction Edge detection Exact sciences and technology Gaussian noise Image denoising Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image restoration impulse noise Information, signal and communications theory Mathematics Miscellaneous Mumford-Shah (MS) functional Noise Noise level Noise reduction Pattern recognition Renovating Reproducibility of Results Sensitivity and Specificity Signal and communications theory Signal processing Signal, noise Telecommunications and information theory
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