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Adaptive total variation image deblurring: A majorization-minimization approach.

, , and . Signal Process., 89 (9): 1683-1693 (2009)

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Learning dependent sources using mixtures of Dirichlet: Applications on hyperspectral unmixing., and . WHISPERS, page 1-5. IEEE, (2009)Parallel implementation of vertex component analysis for hyperspectral endmember extraction., , , , and . IGARSS, page 4078-4081. IEEE, (2012)A Signal Processing Perspective on Hyperspectral Unmixing: Insights from Remote Sensing., , , , , , , and . IEEE Signal Process. Mag., 31 (1): 67-81 (2014)Hyperspectral unmixing algorithm via dependent component analysis., and . IGARSS, page 4033-4036. IEEE, (2007)Interferometric Phase Image Estimation via Sparse Coding in the Complex Domain., , and . IEEE Trans. Geosci. Remote. Sens., 53 (5): 2587-2602 (2015)Semiblind Hyperspectral Unmixing in the Presence of Spectral Library Mismatches., , , and . IEEE Trans. Geosci. Remote. Sens., 54 (9): 5171-5184 (2016)Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach., , and . ICASSP (2), page 861-864. IEEE, (2006)Linear Spectral Unmixing via Matrix Factorization: Identifiability Criteria for Sparse Abundances., and . IGARSS, page 6155-6158. IEEE, (2018)Fast Hyperspectral Image Denoising and Inpainting Based on Low-Rank and Sparse Representations., and . IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 11 (3): 730-742 (2018)Convex formulation for hyperspectral image classification with superpixels., , , , and . IGARSS, page 3294-3297. IEEE, (2016)