Yitzhak Yitzhaky

Ben-Gurion University of the Negev

Papers

2

Total Citations

167

H-Index

2

About

Yitzhak Yitzhaky is a leading authority in image restoration, with a particular focus on correcting motion-blurred and interlaced video degradations. His seminal 1998 work, "Direct method for restoration of motion-blurred images," has garnered 157 citations and introduced a pioneering approach to deblurring images captured from moving platforms—a critical challenge in robotics, handheld photography, and airborne surveillance. By developing a direct, computationally efficient method for estimating and reversing motion blur, Yitzhaky provided a practical solution for real-time imaging systems where camera shake or relative motion is unavoidable. He further advanced the field by addressing the restoration of interlaced images degraded by variable-velocity motion (2003), tackling the complexities of video formation in portable devices like mobile phones and drones. His work bridges theoretical restoration algorithms with real-world applications, enabling clearer imagery in dynamic environments. Yitzhaky’s contributions are foundational for researchers in computer vision and signal processing, offering robust tools for enhancing visual data in autonomous systems and consumer electronics.

Research Focus

Key Achievements

2
H-Index
2
Papers
167
Total Citations
84
Avg Citations/Paper
🏆 Most Cited Paper
Direct method for restoration of motion-blurred images
157 citations · 1998
📈 Most Prolific Year: 1998 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Ben-Gurion University of the Negev

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago