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. 2022 Mar 8;12:4053. doi: 10.1038/s41598-022-08037-y

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© The Author(s) 2022

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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Computational pinhole spectral imaging. (a) Schematic of pinhole imaging; The MTF filter array is placed in front of the pinhole camera. A single filter is adjusted to the pinhole and the filtered image is acquired. By changing filters, 36 filtered images are obtained. (b) 36 filtered images of 8 × 8 LED matrix showing the number “8”. The upper part consists of green LEDs and the lower part consists of red LEDs. (c) Point-wise spectral reconstruction: a pixel of a green LED block and a red LED block which are denoted in (b). Solid light gray lines represent error between reconstructed and reference. (d) Monochrome image of reference and reconstructed monochrome images at 571, 600 and 638 nm, respectively.