A multi-scale vectorial \(L^{\tau }\)-TV framework for color image restoration

DOI10.1007/s11263-010-0359-1zbMath1235.68259OpenAlexW2031907131WikidataQ115155163 ScholiaQ115155163MaRDI QIDQ408897

Yiqiu Dong, M. Monserrat Rincon-Camacho, Michael Hintermüller

Publication date: 12 April 2012

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11263-010-0359-1

zbMATH Keywords

Gaussian noisecolor image\(L^{1}\)-data fidelity\(L^{2}\)-data fidelitymulti-scale vectorial total variationsalt-and-pepper noise

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Machine vision and scene understanding (68T45)

Related Items

Analytical aspects of spatially adapted total variation regularisation, Iterative constrained minimization for vectorial TV image deblurring, Color image processing by vectorial total variation with gradient channels coupling, Edge adaptive hybrid regularization model for image deblurring, Optimal selection of the regularization function in a weighted total variation model. I: Modelling and theory, Optimal selection of the regularization function in a weighted total variation model. II: Algorithm, its analysis and numerical tests, Analysis and an Interior-Point Approach for TV Image Reconstruction Problems on Smooth Surfaces

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