The IEEE SPS congratulates the following SPS members who will receive the Society’s prestigious awards during ICASSP 2025 in India.

We are excited to announce that registration for the IEEE International Symposium on Biomedical Imaging (ISBI) 2025 is now open! Join us from April 14-17, 2025, in Houston, TX, USA for the premier forum that brings together researchers and practitioners at the forefront of biomedical imaging science and technology.

We propose a novel low-level feature similarity (FSIM) induced FR IQA metric, namely, FSIM. FSIM can measure image quality automatically and consistently with human perception.

Nominations are due 15 January annually for the IEEE Technical Field Awards (TFAs). Download nomination forms and award-specific criteria.

The IEEE Signal Processing Society invites nominations for the position of Editor-in-Chief for the following journals: IEEE Open Journal of Signal Processing, IEEE Journal of Selected Topics in Signal Processing, and IEEE Signal Processing Letters for a 3-year term starting 1 January 2026.

An occlusion-aware model for gait video processing uses SMPL-based human mesh models and machine learning to achieve superior recognition in challenging surveillance videos.

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 12 Technical Committees that support a broad selection of signal processing-related activities defined by the scope of the Society.

Electromagnetic inverse scattering problems (ISPs) are crucial in noninvasive imaging but challenging due to nonlinearity and computational costs. This blog explores machine learning-based ISP solvers with physics-guided loss functions, emphasizing the role of near-field priors and multiple-scattering effects. Numerical experiments highlight the advantages and limitations of these approaches.