Fast localization and single-pixel imaging of the moving object using time-division multiplexing

Abstract

When imaging moving objects, single-pixel imaging often suffers from motion blur. This paper presents a novel method for simultaneous high-speed localization and anti-motion blur imaging of fast-moving objects based on single-pixel imaging. The proposed approach leverages geometric moment patterns and Hadamard patterns alternately, encoding the object's positional and image information through time-division multiplexing. During the reconstruction process, the object's position is first extracted, followed by obtaining the image using a motion-compensated single-pixel reconstruction method. As a result, the method achieves both high-frame-rate localization and motion-blur-free imaging. Experimental results demonstrate that for an object moving at an angular velocity of up to 0.5 rad/s relative to the imaging system, the proposed method achieves a localization frequency of 5.55 kHz and progressively reconstructs a motion-blur-free image with a higher signal-to-noise ratio. This approach holds promising potential for applications in single-pixel imaging of fast-moving objects.