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. 2018 Nov 16;8:16919. doi: 10.1038/s41598-018-34400-z

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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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Flowchart illustrating the image prediction framework. The process comprises two sequential segments—the double-transform method first computes the channel-specific pixel values, followed by a postprocessing pipeline reflecting image adjustments standard on modern imaging equipment. Note that thumbnails from "Pixel Values" onwards are cropped and expanded for clarity.