XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA 2019)
The XXII edition of STSIVA is aimed at national and international:
- Students in the area of signal processing, image processing, artificial vision and related areas.
- Professionals in engineering (electrical, electronics, computer science, audio, video, biomedical).
- Faculty and researchers working on the related areas.
The XXII Symposium on Image, Signal Processing and Artificial Vision (STSIVA 2019), the most traditional academic event specialized on signal processing in Colombia, will lead scientists to Universidad Industrial de Santander campus Bucaramanga. On behalf of the whole organizing committee, it is our great pleasure to welcome you in the city of parks from April 24th until April 26th, 2019 to attend a symposium that will feature inspiring plenary talks tutorials on emerging topics in the field of signal and image processing, and a high-level technical program including posters and oral sessions.
Date and Time
- Start time: 24 Apr 2019 08:00 AM
- End time: 26 Apr 2019 06:00 PM
- All times are Etc/GMT-5
- Add Event to Calendar
- Starts 14 December 2018 08:00 AM
- Ends 24 April 2019 08:00 AM
- All times are Etc/GMT-5
- No Admission Charge
Restoration and enhancement of digital images
Ph.D Alessandro Foi received the M.Sc. degree in Mathematics from the Università degli Studi di Milano, Italy, in 2001, the Ph.D. degree in Mathematics from the Politecnico di Milano in 2005, and the D.Sc.Tech. degree in Signal Processing from Tampere University of Technology, Finland, in 2007. He is an Associate Professor of Signal Processing at Tampere University of Technology.
- Mathematical and statistical methods for signal processing.
- Functional and harmonic analysis, and computational modeling of the human visual system.
- His work focuses on spatially adaptive (anisotropic, nonlocal) algorithms for the restoration and enhancement of digital images, noise modeling for imaging devices, and optimal design of statistical transformations for the stabilization, normalization, and analysis of random data.
Markov Chain Monte Carlo (MCMC) methods
Ph.D Jean-Yves Tourneret received the Eng. degree in Electrical Engineering from ENSEEIHT, Toulouse, France, and the M.Sc. degree in Signal Processing from the National Polytechnic Institute of Toulouse, both in 1989. He received the Ph.D. degree in Signal Processing from the National Polytechnic Institute of Toulouse in 1992. He is currently a professor in the telecommunication and networking department of the engineering school ENSEEIHT. His research activities are centered around statistical signal and image processing, with a particular interest on
- Markov Chain Monte Carlo (MCMC) methods.
- Detection and Classification.
|Calendar / Deadlines|
|Full paper Submisison deadline:||Friday, December 14, 2018|
|Notification:||Friday, February 15, 2019|
|Camera ready papers:||Friday, March 22, 2019|
|STSIVA 2019:||April 24 - April 26, 2019|