fsolt<p><strong>Easy Ghost Imaging Simulations (and some codes to do it at home)</strong></p>
A few weeks ago I gave a short seminar on how to do very simple Ghost Imaging simulations. So simple that you can run then in your latptop in a few seconds (or minutes), and you can use them as building blocks to develop larger projects. I created a Github repo with all the codes needed, and I will explain how to use them a little bit here. This is just a quick text covering some of the slides of the seminar, which was aimed at people who are already familiar with Ghost Imaging, but not so […]
<p><a href="https://fsolt.es/2025/04/easy-ghost-imaging-simulations-and-some-codes-to-do-it-at-home/" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">fsolt.es/2025/04/easy-ghost-im</span><span class="invisible">aging-simulations-and-some-codes-to-do-it-at-home/</span></a></p>
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#ComputationalImaging
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Martin Uecker<p>Preprint from a collaboration with Boston Children's Hospital: Rapid, High-resolution and Distortion-free R2* Mapping of Fetal Brain using Multi-echo Radial FLASH and Model-based Reconstruction</p><p><a href="https://arxiv.org/pdf/2501.00256" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/pdf/2501.00256</span><span class="invisible"></span></a><br><a href="https://mastodon.social/tags/radiology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>radiology</span></a> <a href="https://mastodon.social/tags/MRI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MRI</span></a> <a href="https://mastodon.social/tags/ComputationalImaging" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalImaging</span></a></p>
Addison<p><span>Suppose I have an image and want to show the distribution of colours in that image. Obviously, I can sort the pixels in a line and be done. But what if I wanted to preserve the original photo's dimensions, while minimising the colour distance across neighbouring pixels in both dimensions?<br><br></span><a href="https://nothing-ever.works/tags/graphics" rel="nofollow noopener noreferrer" target="_blank">#graphics</a><span> </span><a href="https://nothing-ever.works/tags/computationalimaging" rel="nofollow noopener noreferrer" target="_blank">#computationalimaging</a><span> </span><a href="https://nothing-ever.works/tags/art" rel="nofollow noopener noreferrer" target="_blank">#art</a></p>
amirafsharm<p>Today <span class="h-card" translate="no"><a href="https://mathstodon.xyz/@JulianTachella" class="u-url mention">@<span>JulianTachella</span></a></span>, Matthieu Terris, Dongdon Chen, and Samuel Hurault gave an introduction to Deepinverse library at <a href="https://mathstodon.xyz/tags/DIPOpt" class="mention hashtag" rel="tag">#<span>DIPOpt</span></a> workshop.<br /><a href="https://mathstodon.xyz/tags/inverseproblems" class="mention hashtag" rel="tag">#<span>inverseproblems</span></a> <a href="https://mathstodon.xyz/tags/ComputationalImaging" class="mention hashtag" rel="tag">#<span>ComputationalImaging</span></a> <a href="https://mathstodon.xyz/tags/deeplearning" class="mention hashtag" rel="tag">#<span>deeplearning</span></a></p>
amirafsharm<p>Highlights of poster presentation session, second day of <a href="https://mathstodon.xyz/tags/DIPOpt" class="mention hashtag" rel="tag">#<span>DIPOpt</span></a> workshop. <br />1) Continuous Lippmann-Schwinger Intensity Diffraction Tomography, by Olivier Leblanc, <span class="h-card" translate="no"><a href="https://mathstodon.xyz/@kmlv" class="u-url mention">@<span>kmlv</span></a></span>, and <span class="h-card" translate="no"><a href="https://mathstodon.xyz/@lowrankjack" class="u-url mention">@<span>lowrankjack</span></a></span>.<br />2) Deepinverse Python Library, by Julian Tachella, Dongdong Chen, Samuel Hurault and Matthieu Terris.<br /><a href="https://mathstodon.xyz/tags/inverseproblems" class="mention hashtag" rel="tag">#<span>inverseproblems</span></a>, <a href="https://mathstodon.xyz/tags/computationalimaging" class="mention hashtag" rel="tag">#<span>computationalimaging</span></a></p>
amirafsharm<p>Next speaker is Mike Davies talking about “Unsupervised Machine Imaging: when is data driven knowledge discovery really possible?”<br /><a href="https://mathstodon.xyz/tags/DIPOpt" class="mention hashtag" rel="tag">#<span>DIPOpt</span></a> <a href="https://mathstodon.xyz/tags/inverseproblems" class="mention hashtag" rel="tag">#<span>inverseproblems</span></a> <a href="https://mathstodon.xyz/tags/machinelearning" class="mention hashtag" rel="tag">#<span>machinelearning</span></a> <a href="https://mathstodon.xyz/tags/ComputationalImaging" class="mention hashtag" rel="tag">#<span>ComputationalImaging</span></a> <a href="https://mathstodon.xyz/tags/CompressedSensing" class="mention hashtag" rel="tag">#<span>CompressedSensing</span></a></p>
Fabrizio Musacchio<p>There will be a <a href="https://sigmoid.social/tags/Janelia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Janelia</span></a> conference on <a href="https://sigmoid.social/tags/ComputationalOptics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalOptics</span></a>: </p><p>⏰ May 19-22, 2024<br>🌏 <a href="https://www.janelia.org/you-janelia/conferences/computational-optics" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">janelia.org/you-janelia/confer</span><span class="invisible">ences/computational-optics</span></a><br>❗️Application deadline: Nov 22, 2023</p><p><a href="https://sigmoid.social/tags/ComputationalImaging" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalImaging</span></a> <a href="https://sigmoid.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Neuroscience</span></a> <a href="https://sigmoid.social/tags/Imaging" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Imaging</span></a></p>
Low Rank Jack<p>Slides and abstract of my talk "Interferometric single-pixel imaging with a multicore fiber" made at ISCS23 (Luxembourg, June 12-14, 2023) now available at <a href="https://laurentjacques.gitlab.io/event/interferometric-single-pixel-imaging-with-a-multicore-fiber/" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">laurentjacques.gitlab.io/event</span><span class="invisible">/interferometric-single-pixel-imaging-with-a-multicore-fiber/</span></a> and <a href="https://laurentjacques.gitlab.io/publication/interferometric-single-pixel-imaging-with-a-multicore-fiber/" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">laurentjacques.gitlab.io/publi</span><span class="invisible">cation/interferometric-single-pixel-imaging-with-a-multicore-fiber/</span></a> All this is based on the work of Olivier Leblanc. Long journal preprint version "Interferometric lensless imaging: rank-one projections of image frequencies with speckle illuminations" on <a href="https://arxiv.org" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="">arxiv.org</span><span class="invisible"></span></a> /abs/2306.12698 in colaboration with S. Sivankutty, M. Hofer, H. Rigneault, <a href="https://mathstodon.xyz/tags/imaging" class="mention hashtag" rel="tag">#<span>imaging</span></a> <a href="https://mathstodon.xyz/tags/lensless" class="mention hashtag" rel="tag">#<span>lensless</span></a> <a href="https://mathstodon.xyz/tags/compressivesensing" class="mention hashtag" rel="tag">#<span>compressivesensing</span></a> <a href="https://mathstodon.xyz/tags/computationalimaging" class="mention hashtag" rel="tag">#<span>computationalimaging</span></a> <a href="https://mathstodon.xyz/tags/speckle" class="mention hashtag" rel="tag">#<span>speckle</span></a> <a href="https://mathstodon.xyz/tags/compressedsensing" class="mention hashtag" rel="tag">#<span>compressedsensing</span></a> <a href="https://mathstodon.xyz/tags/InverseProblem" class="mention hashtag" rel="tag">#<span>InverseProblem</span></a> (toot generated thanks to <a href="https://tootpick.org" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="">tootpick.org</span><span class="invisible"></span></a> directly from my website)</p>
Mohammad Hajiaghayi<p>Sun Apr 9, 11AM ET, I will have a live Twitter/YouTube/LinkedIn/Facebook discussion with Prof. Shree Nayar of Columbia U., an Okawa Prize Winner (see his wiki <a href="https://en.wikipedia.org/wiki/Shree_K._Nayar" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="ellipsis">en.wikipedia.org/wiki/Shree_K.</span><span class="invisible">_Nayar</span></a> for his numerus awards) on <a href="https://mathstodon.xyz/tags/computervision" class="mention hashtag" rel="tag">#<span>computervision</span></a>, <a href="https://mathstodon.xyz/tags/computationalimaging" class="mention hashtag" rel="tag">#<span>computationalimaging</span></a>, <a href="https://mathstodon.xyz/tags/cameradevelopment" class="mention hashtag" rel="tag">#<span>cameradevelopment</span></a>, etc.</p>
ISCompSensing<p>We would like to thank everyone who has submitted an abstract to our first edition of <a href="http://ISCS2023.com" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">http://</span><span class="">ISCS2023.com</span><span class="invisible"></span></a>! We'll keep you updated with the notification of acceptance and the registration in the coming weeks. See you soon in <a href="https://mathstodon.xyz/tags/Luxembourg" class="mention hashtag" rel="tag">#<span>Luxembourg</span></a> <a href="https://mathstodon.xyz/tags/compressivesensing" class="mention hashtag" rel="tag">#<span>compressivesensing</span></a> <a href="https://mathstodon.xyz/tags/computationalimaging" class="mention hashtag" rel="tag">#<span>computationalimaging</span></a> <a href="https://mathstodon.xyz/tags/biomedical" class="mention hashtag" rel="tag">#<span>biomedical</span></a> <a href="https://mathstodon.xyz/tags/electronmicroscopy" class="mention hashtag" rel="tag">#<span>electronmicroscopy</span></a> <a href="https://mathstodon.xyz/tags/microscop" class="mention hashtag" rel="tag">#<span>microscop</span></a> <a href="https://mathstodon.xyz/tags/signalprocessing" class="mention hashtag" rel="tag">#<span>signalprocessing</span></a> <a href="https://mathstodon.xyz/tags/deeplearning" class="mention hashtag" rel="tag">#<span>deeplearning</span></a></p>
ISCompSensing<p>📣 Deadline Extension Alert 📣</p><p>Due to popular demand, we're excited to announce that the deadline for abstract submissions for <a href="http://ISCS2023.com" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">http://</span><span class="">ISCS2023.com</span><span class="invisible"></span></a> has been extended by a week! You now have until 3/22/23 to submit your abstracts. Don't miss out on this opportunity!</p><p><a href="https://mathstodon.xyz/tags/compressivesensing" class="mention hashtag" rel="tag">#<span>compressivesensing</span></a> <a href="https://mathstodon.xyz/tags/computationalimaging" class="mention hashtag" rel="tag">#<span>computationalimaging</span></a> <a href="https://mathstodon.xyz/tags/biomedical" class="mention hashtag" rel="tag">#<span>biomedical</span></a> <a href="https://mathstodon.xyz/tags/electronmicroscopy" class="mention hashtag" rel="tag">#<span>electronmicroscopy</span></a> <a href="https://mathstodon.xyz/tags/microscop" class="mention hashtag" rel="tag">#<span>microscop</span></a> <a href="https://mathstodon.xyz/tags/signalprocessing" class="mention hashtag" rel="tag">#<span>signalprocessing</span></a> <a href="https://mathstodon.xyz/tags/deeplearning" class="mention hashtag" rel="tag">#<span>deeplearning</span></a></p>
amirafsharm<p>"A Targeted Sampling Strategy for Compressive Cryo FIB Scanning Electron Microscopy" </p><p>Joint work with D. Nicholls, J. Wells, A. Robinson, M. Kobylynska, R. Fleck, A. Kirkland, N. Browning</p><p>Rosalind Franklin Institute, University of Liverpool, and King's College London</p><p><a href="https://arxiv.org/pdf/2211.03494.pdf" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="">arxiv.org/pdf/2211.03494.pdf</span><span class="invisible"></span></a><br /><a href="https://mathstodon.xyz/tags/CryoEM" class="mention hashtag" rel="tag">#<span>CryoEM</span></a> <a href="https://mathstodon.xyz/tags/ICASSP2023" class="mention hashtag" rel="tag">#<span>ICASSP2023</span></a> <a href="https://mathstodon.xyz/tags/ComputationalImaging" class="mention hashtag" rel="tag">#<span>ComputationalImaging</span></a> <a href="https://mathstodon.xyz/tags/InverseProblems" class="mention hashtag" rel="tag">#<span>InverseProblems</span></a> <a href="https://mathstodon.xyz/tags/ElectronMicroscopy" class="mention hashtag" rel="tag">#<span>ElectronMicroscopy</span></a></p>
ISP Group 🇧🇪<p><a href="https://sigmoid.social/tags/Introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Introduction</span></a> The Image and Signal Processing Group (UCLouvain, ICTEAM, Belgium) is active in theories, models, techniques, codes, datasets, and codecs related to signal and image processing, for intance in <a href="https://sigmoid.social/tags/SignalAcquisition" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SignalAcquisition</span></a>, <a href="https://sigmoid.social/tags/Compression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Compression</span></a> and <a href="https://sigmoid.social/tags/Streaming" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Streaming</span></a>; <a href="https://sigmoid.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>MachineLearning</span></a> and <a href="https://sigmoid.social/tags/DeepLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DeepLearning</span></a> for <a href="https://sigmoid.social/tags/ComputerVision" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputerVision</span></a>; <a href="https://sigmoid.social/tags/ObjectTracking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ObjectTracking</span></a>; <a href="https://sigmoid.social/tags/DataRetrieval" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>DataRetrieval</span></a>; <a href="https://sigmoid.social/tags/Biomedical" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Biomedical</span></a> <a href="https://sigmoid.social/tags/SignalProcessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SignalProcessing</span></a> and <a href="https://sigmoid.social/tags/Medical" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Medical</span></a> <a href="https://sigmoid.social/tags/ImageProcessing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ImageProcessing</span></a>; and <a href="https://sigmoid.social/tags/CompressiveSensing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CompressiveSensing</span></a> <a href="https://sigmoid.social/tags/InverseProblem" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>InverseProblem</span></a>, <a href="https://sigmoid.social/tags/ComputationalImaging" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>ComputationalImaging</span></a> </p><p><a href="https://ispgroup.gitlab.io" rel="nofollow noopener noreferrer" target="_blank"><span class="invisible">https://</span><span class="">ispgroup.gitlab.io</span><span class="invisible"></span></a></p>
ISCompSensing<p>Call for papers for <a href="https://mathstodon.xyz/tags/iscs2023" class="mention hashtag" rel="tag">#<span>iscs2023</span></a> is now available! Consider submitting 2-page abstracts by 15 March 2023 for presentations or show-and-tell demos! The event will feature 6 keynote speakers: Laura Waller (UC Berkeley), Nigel Browning (UoL), <span class="h-card" translate="no"><a href="https://mathstodon.xyz/@kmlv" class="u-url mention">@<span>kmlv</span></a></span> (WUSTL), Fauzia Ahmad (TU), Yves Wiaux (HWU) and Ayush Bhandari (ICL). <a href="https://www.iscs2023.com" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://www.</span><span class="">iscs2023.com</span><span class="invisible"></span></a> <a href="https://tinyurl.com/iscs2023-cfp" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://</span><span class="">tinyurl.com/iscs2023-cfp</span><span class="invisible"></span></a><br /><a href="https://mathstodon.xyz/tags/CompressiveSensing" class="mention hashtag" rel="tag">#<span>CompressiveSensing</span></a> <a href="https://mathstodon.xyz/tags/radar" class="mention hashtag" rel="tag">#<span>radar</span></a> <a href="https://mathstodon.xyz/tags/imaging" class="mention hashtag" rel="tag">#<span>imaging</span></a> <a href="https://mathstodon.xyz/tags/astronomy" class="mention hashtag" rel="tag">#<span>astronomy</span></a> <a href="https://mathstodon.xyz/tags/optics" class="mention hashtag" rel="tag">#<span>optics</span></a> <a href="https://mathstodon.xyz/tags/biomedical" class="mention hashtag" rel="tag">#<span>biomedical</span></a> <a href="https://mathstodon.xyz/tags/signalprocessing" class="mention hashtag" rel="tag">#<span>signalprocessing</span></a> <a href="https://mathstodon.xyz/tags/sensing" class="mention hashtag" rel="tag">#<span>sensing</span></a> <a href="https://mathstodon.xyz/tags/computationalimaging" class="mention hashtag" rel="tag">#<span>computationalimaging</span></a> <a href="https://mathstodon.xyz/tags/electronmicroscopy" class="mention hashtag" rel="tag">#<span>electronmicroscopy</span></a></p>
ISCompSensing<p>We are delighted to announce the 1st edition of the International Symposium on Computational Sensing (<a href="https://mathstodon.xyz/tags/iscs2023" class="mention hashtag" rel="tag">#<span>iscs2023</span></a>) organized in the city of Luxembourg, from 12-14 June 2023. This 3-day event will bring together researchers focused on applications involving <a href="https://mathstodon.xyz/tags/light" class="mention hashtag" rel="tag">#<span>light</span></a> imaging, <a href="https://mathstodon.xyz/tags/electron" class="mention hashtag" rel="tag">#<span>electron</span></a> imaging, <a href="https://mathstodon.xyz/tags/radar" class="mention hashtag" rel="tag">#<span>radar</span></a> and <a href="https://mathstodon.xyz/tags/remotesensing" class="mention hashtag" rel="tag">#<span>remotesensing</span></a>, <a href="https://mathstodon.xyz/tags/astronomical" class="mention hashtag" rel="tag">#<span>astronomical</span></a> imaging, <a href="https://mathstodon.xyz/tags/biomedical" class="mention hashtag" rel="tag">#<span>biomedical</span></a> imaging, and <a href="https://mathstodon.xyz/tags/signalprocessing" class="mention hashtag" rel="tag">#<span>signalprocessing</span></a>. <br /><a href="https://www.iscs2023.com" target="_blank" rel="nofollow noopener noreferrer" translate="no"><span class="invisible">https://www.</span><span class="">iscs2023.com</span><span class="invisible"></span></a><br /><a href="https://mathstodon.xyz/tags/CompressiveSensing" class="mention hashtag" rel="tag">#<span>CompressiveSensing</span></a> <a href="https://mathstodon.xyz/tags/computationalimaging" class="mention hashtag" rel="tag">#<span>computationalimaging</span></a> <a href="https://mathstodon.xyz/tags/electronmicroscopy" class="mention hashtag" rel="tag">#<span>electronmicroscopy</span></a></p>
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