暂无分享,去创建一个
Fiorella Sgallari | Luca Calatroni | Monica Pragliola | Alessandro Lanza | F. Sgallari | A. Lanza | L. Calatroni | M. Pragliola
[1] Denis Kouam'e,et al. A Novel Fast 3D Single Image Super-Resolution Algorithm , 2020, ArXiv.
[2] M.D. Robinson,et al. Efficient Registration of Aliased X-Ray Images , 2007, 2007 Conference Record of the Forty-First Asilomar Conference on Signals, Systems and Computers.
[3] Thomas Brox,et al. On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision , 2015, SIAM J. Imaging Sci..
[4] P. Hansen. Rank-Deficient and Discrete Ill-Posed Problems: Numerical Aspects of Linear Inversion , 1987 .
[5] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[6] A. Basarab,et al. Fast Single Image Super-resolution using a New Analytical Solution for l2-l2 Problems. , 2016, IEEE transactions on image processing : a publication of the IEEE Signal Processing Society.
[7] Fiorella Sgallari,et al. Adaptive parameter selection for weighted-TV image reconstruction problems , 2019, Journal of Physics: Conference Series.
[8] Michael Unser,et al. Image interpolation and resampling , 2000 .
[9] Lea Fleischer,et al. Regularization of Inverse Problems , 1996 .
[10] F. Sgallari,et al. Residual whiteness principle for parameter-free image restoration , 2020 .
[11] A. Chen,et al. Adaptive regularization for color image restoration using discrepancy principle , 2013, 2013 IEEE International Conference on Signal Processing, Communication and Computing (ICSPCC 2013).
[12] Paul Riot. Blancheur du résidu pour le débruitage d'image. (Residual whiteness for image denoising) , 2018 .
[13] Per Christian Hansen,et al. L-Curve Curvature Bounds via Lanczos Bidiagonalization , 2001 .
[14] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[15] Watt,et al. Journal of Cell Science , 1996, Nature.
[16] Bruno Sixou,et al. Iterative choice of the optimal regularization parameter in TV image restoration , 2015 .
[17] Lothar Reichel,et al. Old and new parameter choice rules for discrete ill-posed problems , 2013, Numerical Algorithms.
[18] L. Reichel,et al. GCV for Tikhonov regularization by partial SVD , 2017 .
[19] M. Sprague,et al. Cancer image classification based on DenseNet model , 2018, Journal of Physics: Conference Series.
[20] F. Sgallari,et al. Residual whiteness principle for automatic parameter selection in 𝓁2-𝓁2 image super-resolution problems , 2021, SSVM.
[21] Gilles Aubert,et al. Erratum: A Continuous Exact ℓ0 Penalty (CEL0) for Least Squares Regularized Problem , 2016, SIAM J. Imaging Sci..
[22] Serena Morigi,et al. Whiteness Constraints in a Unified Variational Framework for Image Restoration , 2018, Journal of Mathematical Imaging and Vision.
[23] James A Galbraith,et al. Super-resolution microscopy at a glance , 2011, Journal of Cell Science.
[24] Peter Craven,et al. Smoothing noisy data with spline functions , 1978 .
[25] Emmanuel Soubies,et al. High density molecule localization for super-resolution microscopy using CEL0 based sparse approximation , 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).
[26] Mário A. T. Figueiredo,et al. Parameter Estimation for Blind and Non-Blind Deblurring Using Residual Whiteness Measures , 2013, IEEE Transactions on Image Processing.