Blind source separation
E. Salerno
Blinddoes not mean visually challenged: Extracting source signals from mixed data
in M. Malcangi, Ed., Selected Papers from DSP Application Day 2009, Milano, Italy, CLUP, 2010, pp. 77-89, ISBN 978-88-6301-034-3.C. F. Caiafa, E. Salerno, A. N. Proto, L. Fiumi
Blind spectral unmixing by local maximization of non-Gaussianity
Signal Processing, Vol. 88, No. 1, pp. 50-68, January 2008, DOI: 10.1016/j.sigpro.2007.07.011.C. F. Caiafa, E. Salerno, A. N. Proto,
Blind Source Separation Applied to Spectral Unmixing: Comparing Different Measures of Nongaussianity
Lecture Notes in Artificial Intelligence, Vol. 4694, pp. 1-8, Springer, September 2007, DOI: 10.1007/978-3-540-74829-8_1.C. F. Caiafa, E. Salerno, A. N. Proto, L. Fiumi,
Dependent component analysis as a tool for blind spectral unmixing of remote-sensed images
Proc. EUSIPCO 2006, Florence, Italy, 4-8 September 2006.A. Tonazzini, L. Bedini, E. Salerno,
A Markov model for blind image separation by a mean-field EM algorithm
IEEE Trans. on Image Processing, Vol. 15, No. 2, pp. 473-482, February 2006, DOI: 10.1109/TIP.2005.860323.A. Tonazzini, L. Bedini, E.E. Kuruoglu, E. Salerno,
Blind separation of auto-correlated images from noisy mixtures using MRF models
Proc. ICA2003, Nara, Japan, April 2003, pp. 675-680.
Optical Flow
R. Ciampini, L. Blanc-Féraud, M. Barlaud, E. Salerno
Motion-Based Segmentation by means of Active Contours
in Proc. ICIP'98, pp.667-670, DOI: 10.1109/ICIP.1998.723613L. Bedini, A. Cannata, M. Ferraro, E. Salerno and A. Tonazzini
Visual Module Integration for Optical Flow Estimation
in S. Theodoridis, I. Pitas, A. Stouraitis, N. Kalouptsidis, Editors, Signal Processing IX: Theories and Applications, Vol. III, pp. 1577-1580, 1998.
Spectrum Extrapolation
E. Salerno
Eigenvalue Analysis of the Gerchberg Method in the 2D Band-Pass Case: Limited-Angle Data
in Atti 4º Congresso Nazionale della Società Italiana di Matematica Applicata e Industriale - SIMAI'98, Giardini-Naxos, Italy, 1-5/06/1998, Vol. 2, pp. 180-182.E. Salerno
Superresolution Capabilities of the Gerchberg Method in the Band-Pass Case: An Eigenvalue Analysis
Int. J. of Imaging Systems and Technology, Vol. 9, No. 2/3, pp. 181-188, 1998, DOI: 10.1002/(SICI)1098-1098(1998)9:2/3<181::AID-IMA15>3.0.CO;2-#E.A. Salerno
Eigenvalue Analysis of an Iterative Super-Resolution Operator for 2D Band-Pass Images
in Atti 3º Congresso Nazionale della Società Italiana di Matematica Applicata e Industriale - SIMAI'96, Salice Terme, Italy, 27-31/05/1996, pp. 518-520.E.A. Salerno
Achieving Super-Resolution with Band-Pass Images
in J. Vandewalle, R. Boite, M. Moonen, A. Oosterlink, Editors, Signal Processing VI: Theories and Applications, Vol. III Elsevier 1992, pp. 1417-1420, DOI: 10.1016/B978-0-444-89587-5.50057-8
Energy-Minimization Methods for Image Reconstruction
L. Bedini, I. Gerace, E. Salerno and A. Tonazzini
Models and Algorithms for Edge-Preserving Image Reconstruction
in P.W. Hawkes, Ed., Advances in Imaging and Electron Physics, Vol. 97, Academic Press, 1996, pp. 85-189, DOI: 10.1016/S1076-5670(08)70094-6L. Bedini, E. Salerno and A. Tonazzini
Edge-Preserving Tomographic Reconstruction from Gaussian Data Using a Gibbs Prior and a Generalized Expectation-Maximization Algorithm
Int. J. on Imaging Syst. & Technology, Vol. 5, No. 3, Fall 1994, pp. 231-238, DOI: 10.1002/ima.1850050306L. Bedini, L. Benvenuti, E. Salerno and A. Tonazzini
A Mixed-Annealing Algorithm for Edge Preserving Image Reconstruction Using a Limited Number of Projections
Signal Processing, Vol. 32, No. 3, June 1993, pp. 397-408, DOI: 10.1016/0165-1684(93)90009-Y.E. Salerno, L. Bedini, L. Benvenuti, and A. Tonazzini
GEM Algorithm for Edge-Preserving Reconstruction in Transmission Tomography from Gaussian Data
in D.C. Wilson and J.N. Wilson, Editors, Mathematical Methods in Medical Imaging II, Proc. SPIE 2035, 1993, pp. 156-165, DOI: 10.1117/12.146597L. Bedini, M.G. Pepe, E. Salerno and A. Tonazzini
Non-Convex Optimization for Image Reconstruction with Implicitly Referred Discontinuities
in G. Vernazza et al., Editors, Image Processing: Theory and Applications, Elsevier, 1993, pp. 263-266.L. Bedini, L. Benvenuti, E. Salerno and A. Tonazzini
Edge Preserving Tomographic Reconstruction from Few Projections
in J. Vandewalle, R. Boite, M. Moonen, A. Oosterlink, Editors, Signal Processing VI: Theories and Applications, Elsevier, 1992, pp. 1445-1448, DOI: 10.1016/B978-0-444-89587-5.50064-5E. Salerno and A. Tonazzini
2D Image Reconstruction from Sparse Line-Integral Data
Signal Processing, Vol. 23, No. 2, May 1991, pp. 193-203, DOI: 10.1016/0165-1684(91)90073-R.E. Salerno and A. Tonazzini
Image Reconstruction from Line-Integral Data: A Regularization Approach
in L. Torres, E. Masgrau and M.A. Lagunas, Editors, Signal Processing V: Theories and Applications, Elsevier 1990, pp. 913-916.