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. 2018 Jan 11;8:466. doi: 10.1038/s41598-017-18968-6

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© The Author(s) 2017

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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Experimental comparison of the image reconstruction quality (PSNR) as a function of compression rate for compressively sensed 256 × 256 image using Walsh-Hadamard, discrete noiselet, and Morlet wavelet correlated random sampling patterns. For the last case, a fast method of reconstruction based on pseudoinverse (Pinv) is also included, in addition to the CS-based recovery obtained by minimizing the total variation (TV).