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Super sub-nyquist single-pixel imaging by total variation ascending ordering of the Hadamard absis
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Yu, Xiao, Stantchev, Rayko Ivanov, Yang, Fan and Pickwell-MacPherson, Emma (2020) Super sub-nyquist single-pixel imaging by total variation ascending ordering of the Hadamard absis. Scientific Reports, 10 (1). p. 9338. 9338. doi:10.1038/s41598-020-66371-5 ISSN 2045-2322.
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Official URL: https://doi.org/10.1038/s41598-020-66371-5
Abstract
Single pixel imaging (SPI) captures images without array detectors or raster scanning. When combined with compressive sensing techniques it enables novel solutions for high-speed optical imaging and spectroscopy. However, when it comes to the real-time capture and analysis of a fast event, the challenge is the inherent trade-off between frame rate and image resolution. Due to the lack of sufficient sparsity and the intrinsic iterative process, conventional compressed sensing techniques have limited improvement in capturing natural scenes and displaying the images in real time. In this work, we demonstrate a novel alternative compressive imaging approach employing an efficient and easy-implementation sampling scheme based on reordering the deterministic Hadamard basis through their total variation. By this means, the number of measurements and acquisition are reduced significantly without needing complex minimization algorithms. We can recover a 128 × 128 image with a sampling ratio of 5% at the signal peak signal-to-noise ratio (PSNR) of 23.8 dB, achieving super sub-Nyquist sampling SPI. Compared to other widely used sampling e.g. standard Hadamard protocols and Gaussian matrix methods, this approach results in a significant improvement both in the compression ratio and image reconstruction quality, enabling SPI for high frame rate imaging or video applications.
| Item Type: | Journal Article | ||||||||||||||||||
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| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||||||||||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Physics | ||||||||||||||||||
| SWORD Depositor: | Library Publications Router | ||||||||||||||||||
| Library of Congress Subject Headings (LCSH): | Remote sensing -- Data processing, Image processing -- Digital techniques, Hadamard transform spectroscopy | ||||||||||||||||||
| Journal or Publication Title: | Scientific Reports | ||||||||||||||||||
| Publisher: | Nature Publishing Group | ||||||||||||||||||
| ISSN: | 2045-2322 | ||||||||||||||||||
| Official Date: | 9 June 2020 | ||||||||||||||||||
| Dates: |
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| Volume: | 10 | ||||||||||||||||||
| Number: | 1 | ||||||||||||||||||
| Page Range: | p. 9338 | ||||||||||||||||||
| Article Number: | 9338 | ||||||||||||||||||
| DOI: | 10.1038/s41598-020-66371-5 | ||||||||||||||||||
| Status: | Peer Reviewed | ||||||||||||||||||
| Publication Status: | Published | ||||||||||||||||||
| Access rights to Published version: | Open Access (Creative Commons) | ||||||||||||||||||
| Date of first compliant deposit: | 12 August 2020 | ||||||||||||||||||
| Date of first compliant Open Access: | 13 August 2020 | ||||||||||||||||||
| Grant number: | ), Chongqing postgraduate scientific research and innovation project (project number), the (project numbers | ||||||||||||||||||
| RIOXX Funder/Project Grant: |
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| Is Part Of: | 1 |
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