Researchers have developed a motion-compensation method that allows single-pixel imaging to capture sharp images of complex dynamic scenes. The new approach could expand the practical utility of this computational imaging .
Researchers have developed a motion-compensation method that allows single-pixel imaging to capture sharp images of complex dynamic scenes. The new approach could expand the practical utility of this computational imaging method by enabling clearer images of moving targets and improving the quality of surveillance images.
Single-pixel imaging uses a single detector, rather than the traditional array of pixels, to acquire images. Although it offers several advantages, such as high sensitivity and low cost, it can be slow, and moving scenes often lead to blurry or distorted images.
„The ability of our motion-compensated single-pixel imaging method to correct for motion and maintain image quality can significantly improve the clarity of real-time video feeds and reduce blur“, said research team leader Yuanjin Yu from Beijing Institute of Technology in China. „This makes it easier to identify objects or people in dark or obscured environments.“
In the journal Optics Express, the researchers describe their unique motion-compensation technique and show that it improved image quality and video smoothness in several different motion scenarios.
„This work represents the first motion-compensation framework specifically designed for complex scenes in single-pixel imaging, and it can be used for a broad range of real-world scenarios“, said Yu.
