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. 2021 Oct 6;11:19872. doi: 10.1038/s41598-021-97726-1

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© The Author(s) 2021

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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Comparison of dIMMI- and CDMMI-based reconstructions using the nnAPCG reconstruction algorithm. (a) Both models tend towards increasing absolute error as a function of image size though (b) the relative residual for CDMMI is higher than dIMMI for low image resolutions, converging at higher resolutions. (c) Neither model incurs negative pixels due to the non-negative constraint. When considering the reconstruction L₁ norm (d) and L₂ norm (e) for each model, CDMMI results in a lower norm at low resolutions; again, both methods perform similarly at high resolutions. (f) depicts the ground truth, reconstructed, difference, and SSIM images for each of the methods. Both models underestimate the true image intensity for high-intensity objects when reconstructed using nnAPCG, causing mismatches towards the center of each object. Figure created using a combination of MATLAB and Microsoft PowerPoint.