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. 2018 Feb 5;8:2369. doi: 10.1038/s41598-018-20521-y

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Single-Pixel Camera Performance Results. Comparing the full Hadamard basis (M = 16834 patterns) (a), with the reduced optimised Hadamard basis (M = 666 patterns, 4% of total) (b), the reduced optimised Hadamard basis smoothed using a Gaussian filter with 1 pixel standard deviation (M = 666 patterns) (c) and the deep learned basis (M = 666 patterns) (d). Note the improved sloping lines in DL compared to FHT.