Random lasers and scattering media
Open access
Abstract
Abstract
This work proposes a geometry-optimized complex-domain error-diffusion encoding method for Fourier single-pixel imaging. Instead of independently binarizing multiple grayscale phase-shifting patterns, the proposed method directly represents each complex-valued Fourier basis pattern using K (K >= 3) weighted binary patterns while diffusing the residual error in the complex domain. A geometric interpretation is further established, revealing that the encoding process can be viewed as approximating the Fourier-basis unit circle by a regular polygon in the complex plane. Based on this geometric interpretation, practical optimization strategies are developed for K = 3, K = 4, and K = 7. Both numerical simulations and real-object experiments demonstrate consistently superior reconstruction quality compared with conventional phase-shifting dithering.
Direct answer
What can I do from this paper page?
Use this page to scan "Geometry-Optimized Complex-Domain error-diffusion encoding for Fourier Single-Pixel Imaging" quickly: start with the summary and abstract, then check the authors, source, topics, and related papers. From here, open Scollr to follow Random lasers and scattering media research, save the paper, or map adjacent work.
Research areas
Follow related topics
Citation
BibTeX
@article{Shao2026Geometry,
title = {Geometry-Optimized Complex-Domain error-diffusion encoding for Fourier Single-Pixel Imaging},
author = {Chongwu Shao and Yue Cao and Wei Zhang and Xiaopeng-Jin and Yingran Shen and Shijian Li and Xu-Ri Yao},
journal = {arXiv (Cornell University)},
year = {2026},
url = {https://arxiv.org/abs/2607.11264}
}FAQ
Using this paper in a discovery workflow
How do I find related work for this paper?
Use the related papers and topic links on this page as starting points. In Scollr, you can also open the paper and build a literature map around its references, citing papers, and related work.
How can I keep up with new Random lasers and scattering media research papers?
Follow Random lasers and scattering media research in Scollr. New papers from the topic flow into a personalized feed, and you can save useful studies to revisit later.
Can I cite this paper from this page?
This page includes a static BibTeX block for Geometry-Optimized Complex-Domain error-diffusion encoding for Fourier Single-Pixel Imaging. Always verify the DOI, source, and publication details against the publisher record before submitting a manuscript.
Follow this research in Scollr
Follow the topics and authors behind this paper, save useful studies, and build a literature map when you are ready to go deeper.
Get the app