Motion Blur-Free High-Speed Hybrid Image Sensing.
Paul K J Park1,2, Junseok Kim1, Juhyun Ko1
1Samsung Electronics, Hwaseong 18448, Gyeonggi-do, Republic of Korea.
Sensors (Basel, Switzerland)
|December 31, 2025
Summary
This study introduces a novel hybrid image sensor combining a 60 fps CMOS Image Sensor (CIS) and a 1440 fps pseudo Dynamic Vision Sensor (DVS). This system effectively compensates for motion blur in images, enhancing visual clarity.
Area of Science:
- Image Sensing Technology
- Computer Vision
- Hardware Engineering
Background:
- Traditional hybrid image sensors face performance limitations.
- Motion blur significantly degrades image quality in dynamic scenes.
Purpose of the Study:
- To develop a novel motion blur-free hybrid image sensing technique.
- To integrate high-frame-rate CMOS Image Sensor (CIS) and pseudo Dynamic Vision Sensor (DVS) capabilities.
- To achieve significant motion blur compensation for improved image clarity.
Main Methods:
- Developed a homogeneous hybrid image sensing technique with 60 fps CIS and 1440 fps pseudo DVS.
- Implemented one-side ADCs and column switch control for fast readout.
- Obtained high-speed pseudo DVS frames by differentiating fast-readout CIS frames.
- Verified data transmission over MIPI interface without signal loss.
Main Results:
- Achieved the world's smallest pseudo DVS pixel (1.8 μm).
- Demonstrated dramatic motion blur compensation for 60 fps CIS images using pseudo DVS frames and a deblur algorithm.
- Verified motion blur compensation for CIS images captured during jogging via event simulation.
Conclusions:
- The proposed hybrid image sensing technique effectively eliminates motion blur.
- High-speed pseudo DVS frames are crucial for compensating motion blur in CIS images.
- This technology offers a significant advancement in capturing clear images in dynamic environments.
