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Section: Publications & Resources
Publication: IEEE Transactions on Computational Imaging
Wax-mediated surface layers introduce anisotropic diffusion and non-Lambertian reflectance that distort observable pest morphology in agricultural imagery, degrading the reliability of data-driven det
Section: Community & Involvement
The IEEE Multimedia Signal Processing Technical Committee (MMSP-TC) is pleased to announce the recipients of the 2026 IEEE MMSP-TC Rising Star Award.
The MMSP-TC Rising Star Award recognizes outstanding early-career researchers who are making significant contributions to the field of multimedia signal processing through innovative research, leadership, and service to the community.
Section: Events
Date: September 19-22, 2027
Location: Levi, Finland
Conference Paper Submission Deadline: TBD
Section: Events
Date: December 6-10, 2027
Location: Lille, France
Conference Paper Submission Deadline: TBD
Website: TBD
Section: Events
Date: September 25-29, 2028
Location: Sapporo, Japan
Conference Paper Submission Deadline: TBD
Website: TBD
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Division-of-focal-plane polarimeter (DoFP) cameras enable real-time polarization imaging by simultaneously capturing multiple polarization orientations at the cost of spatial resolution. Existing conv
Section: Publications & Resources
Publication: IEEE Transactions on Image Processing
Standard CMOS imagers provide reliable real-time imaging only above 1 lx, typical of daylight. Electron Bombarded Active Pixel Sensor (EBAPS), employing photoelectron bombardment gain, delivers clear
Section: Publications & Resources
Advanced Persistent Threats (APTs) pose one of the most significant challenges in cyberspace security. They are characterized by stealthy and sustained efforts to steal high-value files from the endpo
Section: Events
Date: 18-November-2026
Time: 7:00 AM ET (New York Time)
Presenter: Dr. Davide Alessandro Coccomini
Website link: Register
Section: Publications & Resources
Publication: IEEE Signal Processing Letters
Accurate detection of aircraft skin surface defects is critical for aviation safety. However, conventional networks suffer from high-frequency edge and texture degradation during downsampling when det
