Summary
Pier Luigi Dragotti is Professor of Signal Processing in the Electrical and Electronic Engineering Department at Imperial College, London.
For more information about his research activities, project, PhD students, talks, software and teaching, please view his personal web page at http://www.commsp.ee.ic.ac.uk/~pld/
News:
- Video Lecture: "When Art meets Science", Science Breaks, 10 September 2020
- We uncover hidden drawings beneath Leonardo's 'The Virgin of the Rocks' masterpiece (paper)
- J. Huang and P.L. Dragotti, Learning Deep Analysis Dictionaries for Image Super-Resolution, IEEE Transactions on Signal Processing, to appear in 2020
- X. Deng and P.L. Dragotti, Deep Convolutional Neural Network for Multi-modal Image Restoration and Fusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear in 2020 (Software).
Selected Publications
Journal Articles
Deng X, Dragotti PL, 2020, Deep convolutional neural network for multi-modal image restoration and fusion, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol:43, ISSN:0162-8828, Pages:3333-3348
Alexandru R, Dragotti PL, 2020, Reconstructing classes of non-bandlimited signals from time encoded information, IEEE Transactions on Signal Processing, Vol:68, ISSN:1053-587X, Pages:747-763
Deng X, Dragotti PL, 2019, Deep coupled ISTA network for multi-modal image super-resolution, IEEE Transactions on Image Processing, Vol:29, ISSN:1057-7149, Pages:1683-1698
Dragotti P, Murray-Bruce J, 2017, A Sampling Framework for Solving Physics-driven Inverse Source Problems, IEEE Transactions on Signal Processing, Vol:65, ISSN:1053-587X, Pages:6365-6380
Dragotti P, Wei X, 2016, FRESH – FRI-based single-image super-resolution algorithm, IEEE Transactions on Image Processing, Vol:25, ISSN:1057-7149, Pages:3723-3735
Pan H, Blu T, Dragotti PL, 2014, Sampling curves with finite rate of innovation, IEEE Transactions on Signal Processing, Vol:62, ISSN:1053-587X, Pages:458-471
Urigueen JA, Blu T, Dragotti PL, 2013, FRI Sampling With Arbitrary Kernels, IEEE Transactions on Signal Processing, Vol:61, ISSN:1053-587X, Pages:5310-5323
Pearson J, Brookes M, Dragotti P-L, 2013, Plenoptic layer-based modelling for image based rendering, IEEE Transactions on Image Processing, Vol:22, ISSN:1057-7149, Pages:3405-3419
Oñativia J, Schultz S, Dragotti PL, 2013, A finite rate of innovation algorithm for fast and accurate spike detection from two-photon calcium imaging, Journal of Neural Engineering, Vol:10
Gelman A, Dragotti PL, Velisavlievic V, 2012, Multi-view Image Coding using Depth Layersand an Optimized Bit Allocation, Ieee Transactions on Image Processing
Chaisinthop V, Dragotti PL, 2011, Centralized and Distributed Semiparametric Compression of Piecewise Smooth Functions, IEEE Transactions on Signal Processing, Vol:59, ISSN:1053-587X, Pages:3071-3085
Berent J, Dragotti PL, Blu T, 2010, Sampling Piecewise Sinusoidal Signals With Finite Rate of Innovation Methods, IEEE Transactions on Signal Processing, Vol:58, ISSN:1053-587X, Pages:613-625
Baboulaz L, Dragotti PL, 2009, Exact Feature Extraction Using Finite Rate of Innovation Principles With an Application to Image Super-Resolution, IEEE Transactions on Image Processing, Vol:18, ISSN:1057-7149, Pages:281-298
Blu T, Dragotti P-L, Vetterli M, et al., 2008, Sparse sampling of signal innovations, IEEE Signal Processing Magazine, Vol:25, ISSN:1053-5888, Pages:31-40
Dragotti, P L, Vetterli, et al., 2007, Sampling moments and reconstructing signals of finite rate of innovation: Shannon meets Strang–Fix, IEEE Transactions on Signal Processing, Vol:55, ISSN:1053-587X, Pages:1741-1757