307 research outputs found
Single-pixel imaging of a translational object
Image-free tracking methods based on single-pixel detectors (SPDs) can track
a moving object at a very high frame rate, but they rarely can achieve
simultaneous imaging of such an object. In this study, we propose a method for
simultaneously obtaining the relative displacements and images of a
translational object. Four binary Fourier patterns and two differential
Hadamard patterns are used to modulate one frame of the object and then
modulated light signals are obtained by SPD. The relative displacements and
image of the moving object can be gradually obtained along with the detection.
The proposed method does not require any prior knowledge of the object and its
motion. The method has been verified by simulations and experiments, achieving
a frame rate of 3332 Hz to acquire relative displacements of a translational
object at a spatial resolution of pixels using a 20000-Hz
digital micro-mirror device. This proposed method can broaden the application
of image-free tracking methods and obtain spatial information about moving
objects.Comment: 15 pages, 9 figures, 1 tabl
Tracking and fast imaging of a translational object via Fourier modulation
The tracking and imaging of high-speed moving objects hold significant
promise for application in various fields. Single-pixel imaging enables the
progressive capture of a fast-moving translational object through motion
compensation. However, achieving a balance between a short reconstruction time
and a good image quality is challenging. In this study, we present a approach
that simultaneously incorporates position encoding and spatial information
encoding through the Fourier patterns. The utilization of Fourier patterns with
specific spatial frequencies ensures robust and accurate object localization.
By exploiting the properties of the Fourier transform, our method achieves a
remarkable reduction in time complexity and memory consumption while
significantly enhancing image quality. Furthermore, we introduce an optimized
sampling strategy specifically tailored for small moving objects, significantly
reducing the required dwell time for imaging. The proposed method provides a
practical solution for the real-time tracking, imaging and edge detection of
translational objects, underscoring its considerable potential for diverse
applications.Comment: 6 figure
A detail-enhanced sampling strategy in Hadamard single-pixel imaging
Hadamard single-pixel imaging (HSI) is an appealing imaging technique due to
its features of low hardware complexity and industrial cost. To improve imaging
efficiency, many studies have focused on sorting Hadamard patterns to obtain
reliable reconstructed images with very few samples. In this study, we present
an efficient HSI imaging method that employs an exponential probability
function to sample Hadamard spectra along a direction with better energy
concentration for obtaining Hadamard patterns. We also propose an XY order to
further optimize the pattern-selection method with extremely fast Hadamard
order generation while retaining the original performance. We used the
compressed sensing algorithm for image reconstruction. The simulation and
experimental results show that these pattern-selection method reliably
reconstructs objects and preserves the edge and details of images.Comment: 14 pages, 12 figures,1 tabl
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