Total Variation Image Processing

• D. Lazzaro, E. Loli Piccolomini, V. Ruggiero, F. Zama, A fast subgradient algorithm in image super-resolution, 7th International Conference on New Computational Methods for Inverse Problems, Cachan May 12, 2017
• Lazzaro, D.; Loli Piccolomini, E.; Zama, F., Efficient Compressed Sensing Based MRI Reconstruction using Nonconvex Total Variation Penalties, JOURNAL OF PHYSICS. CONFERENCE SERIES, 756 , 2016
• K. Chen, E. Loli Piccolomini and F. Zama, An iterative algorithm for L1-TV constrained regularization in image restoration Proceedings of 5th International Workshop on New Computational Methods for Inverse Problems (NCMIP2015), "Journal of Physics : Conference Series", vol. 657 IOP publishing 2015. Poster
• K. Chen, E. Loli Piccolomini and F. Zama, Iterative Constrained Minimization for Vectorial TV Image Deblurring J.Mat.Im.Vis. 2015. Matlab codes.
• K. Chen, E. Loli Piccolomini and F. Zama, An automatic regularization parameter selection algorithm in the total variation model for image deblurring Numer. Alg. 2014.