News
I am looking for talented
students willing to do a PhD in the area of signal
processing and data analysis
IEEE
SPS Distinguished Lecturer
"When
Art meets Science", Science Breaks, 10 September 2020,
Video Lecture
We
uncover forgotten figures beneath one of Leonardo's
paintings
Wavelet-domain
style transfer for Single-Image Super-Resolution
Photo-Realistic
Image Completion Demo
Check out the start-up
company funded by Loic Baboulaz a former PhD student of
mine!
Editor-in-Chief of IEEE Transactions on Signal Processing
Learn more about my ERC RecoSamp Project
Adam wins gold at the Commonwealth Games!
Recent
talks:
- Deep
Dictionary Learning Approaches for Image Super-Resolution
Cambridge University, March 2020
- Timing
is everything: Sparse Sampling based on Time-Encoding
Machines, plenary at SPARS conference, July 2019
- Deep
Dictionary Learning Approaches for Image Super-Resolution
Mathematics of Data, Alan Turing Institute, May 2019
- Signal
Processing Methods for Cell Localization and Activity
Detection from Calcium Imaging Data,
Imaging and Applied Optics Congress, Orlando, June
2017
- Sensing
the real world: Sparse Sampling meets Strang-Fix and
Baron de Prony, Gottingen University, 16 December
2016.
Recent
manuscripts:
- J. Huang and P.L. Dragotti, Learning Deep Analysis Dictionaries for Image Super-Resolution, IEEE Transactions on Signal Processing, vol. 68, pages: 6633 - 6648, 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, accepted, April 2020.
- R. Alexandru and P.L. Dragotti,Reconstructing
classes of non-bandlimited signals from time encoded
information, IEEE Transactions on Signal Processing,
pp. 747-763, vol. 68, year 2020
- X. Deng, Ren Yang, Mai Xu and P.L. Dragotti, Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution, ICCV 2019, Seoul, Korea, November 2019, video
- Deng and P.L. Dragotti,
Deep Coupled ISTA Network for Multi-modal Image
Super-Resolution, IEEE Transactions on Image
Processing, pp 1683-1698, vol.29, Year 2020. Software
code
- S.Reynolds et al. ABLE: An Activity-Based Level Set Segmentation Algorithm for Two-Photon Calcium Imaging Data, eNeuro, October 2017 (Code available here)
Demos:
- Wavelet-domain style transfer for Single-Image Super-Resolutio
- Photo-Realistic Image Completion
- ABLE algorithm in action
- Estimation of diffusion sources using sensor networks
- Light-Field Interpolation
- Super-resolution of the moon
Press Releases:
