Image filtering is a fundamental task in computer vision and image processing. Various linear and nonlinear filters are routinely used for enhancement, superresolution, sharpening, restoration, etc. The focus of this thesis is on kernel-based filtering that has received significant attention in recent years.

Matching images to a discrete camera is of significance in forensic investigation. In the case of digital images, forensic matching is possible through the use of sensor noise present within every image. There exist misconceptions, however, around how this noise reacts under variables such as temperature and the use of different lens systems.

Professor Roxana Saint-Nom received her Electrical Engineering degree in 1987 from ITBA (Buenos Aires Institute of Technology, a 6 years program), Argentina. She achieved an Advanced Studies degree (Suficiencia Investigadora, 2003) in Speech Processing from the “Universidad Politécnica de Madrid”, Spain. 

IEEE SPS has built a streamlined mechanism for employers to add a job announcement by simply filling in a simple job opportunity submission Web form related to a particular TC field. To submit job announcements for a particular Technical Committee, the submission form can be found by visiting the page below and selecting a particular TC.

The Signal Processing Society (SPS) has 13 Technical Committees and 2 Special Interest Groups (SIGs) that support a broad selection of signal processing-related activities defined by the scope of the Society.

The IEEE Signal Processing Society is happy to announce the addition of fifteen new Chapters formed in 2019. We welcome the new SPS Chapters and wish them great success in their future activities and events.

IEEE Signal Processing Society Past President Ali H. Sayed, in his capacity as Chair of the Society’s Nominations and Appointments Committee, invites nominations for the IEEE Signal Processing Society Officer positions of Vice President-Conferences for the term 1 January 2021-31 December 2023 and Vice President-Publications for the term 1 January 2021-31 December 2023.  Nominations must be received no later than 14 FEBRUARY 2020.

In this webinar, we'll introduce FemtoPixel: A framework for lensless imaging with compressive ultrafast sensing. The FemtoPixel framework provides single-pixel imaging capabilities that are up to 50X faster compared to traditional single-pixel camera techniques.