Jean-Marie Moureaux
Papers
1
Total Citations
22
H-Index
1
About
Jean-Marie Moureaux is a leading researcher in the fields of medical image and video processing, compression, and quality assessment. His work sits at the critical intersection of signal processing and telemedicine, where he addresses the challenge of transmitting high-quality medical video over bandwidth-constrained networks. His most impactful contribution, the 2010 study "Subjective MPEG2 compressed video quality assessment: Application to Tele-surgery," has garnered 22 citations and established a foundational framework for evaluating how compression artifacts affect the diagnostic utility of surgical video. This work is essential for the safe deployment of remote robotic-assisted surgery, where visual fidelity is paramount. Beyond this landmark paper, Moureaux has made sustained contributions to image coding, particularly in wavelet-based compression and rate-distortion optimization. His research provides the technical backbone for telemedicine systems, ensuring that doctors can rely on transmitted medical imagery for accurate diagnosis and treatment. For students and researchers, Moureaux’s work exemplifies how rigorous signal processing can directly enable life-saving medical technologies, bridging the gap between theoretical compression algorithms and real-world clinical applications.
Research Focus
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Top Papers
- 1