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Underwater Image Enhancement via a Robust yet Efficient Dual Prior Optimized Method
Underwater images are highly susceptible to quality degradation due to light's scattering and absorption [1,2]. Unfortunately, underwater images with deteriorating quality impose many limitations in following visual perception analysis and practical underwater applications.
Nominate a colleague: SPS Distinguished Lecturer or Distinguished Industry Speaker!
SPS is now soliciting nominations for distinguished lecturers/speakers to serve for two Society programs. Nominations must be received no later than 31 May 2025.
Get Involved with Technical Committees by becoming a TC Affiliate
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.
Join Us in Edinburgh for SSP 2025 – Early Bird Registration Open!
Early Registration is open for the 23rd IEEE Statistical Signal Processing Workshop (SSP 2025) set to take place from 8-11 June, 2025, in the historic and vibrant city of Edinburgh, Scotland.
2025 IEEE SPS Scholarship Program Now Open!
The IEEE Signal Processing Society is excited to announce that the SPS Scholarship Program has returned for its third year and is accepting applications for 2025!
Member Highlight: Al Bovik
Al Bovik (LF ‘23) is currently he is a visiting professor in the Department of Electrical, Computer, and Energy Engineering and the ATLAS Institute at University of Colorado Boulder and the Cockrell Family Regents Endowed Chair Professor at The University of Texas at Austin.
IEEE SPS Day: 2 June 2025
On 2 June 2025, the IEEE Signal Processing Society (SPS) will observe SPS Day, marking the day the Society was established in 1948.
IEEE SPS 2025 President-Elect Special Election Results
The results are in for the IEEE SPS 2025 President-Elect Special Election.
Can Lensless Cameras Redefine Depth of Field in Photography?
This post introduces a novel approach to extending the depth of field (DOF) in lensless cameras using optimized radial coded masks. Our proposed method overcomes the limitations of previous and generic coded mask designs by employing a radial-shape-constrained optimization procedure, resulting in improved optical transfer functions while enabling extended DOF. Through simulations and prototype experiments, we demonstrate that our optimized radial mask achieves superior imaging quality compared to hand-crafted radial patterns and larger DOF than non-radial masks.
Call for Nominations: IEEE Medals & Recognitions
Nominations will be open 1 December - 15 June for IEEE Medals and Recognitions - IEEE’s highest awards. All are encouraged to submit a nomination for a worthy candidate within their technical fields.
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