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arXiv:1512.01413astro-ph.IM

Computational Imaging for VLBI Image Reconstruction

Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman

Abstract

Very long baseline interferometry (VLBI) is a technique for imaging celestial radio emissions by simultaneously observing a source from telescopes distributed across Earth. The challenges in reconstructing images from fine angular resolution VLBI data are immense. The data is extremely sparse and noisy, thus requiring statistical image models such as those designed in the computer vision community. In this paper we present a novel Bayesian approach for VLBI image reconstruction. While other methods often require careful tuning and parameter selection for different types of data, our method (CHIRP) produces good results under different settings such as low SNR or extended emission. The success of our method is demonstrated on realistic synthetic experiments as well as publicly available real data. We present this problem in a way that is accessible to members of the community, and provide a dataset website (vlbiimaging.csail.mit.edu) that facilitates controlled comparisons across algorithms.

arXiv comments
Accepted for publication at CVPR 2016, Project Website: http://vlbiimaging.csail.mit.edu/, Video of Oral Presentation at CVPR June 2016: https://www.youtube.com/watch?v=YgB6o_d4tL8
Journal reference
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 913-922
DOI
Subjects
astro-ph.IMInstrumentation and Methods for Astrophysics astro-ph.GAAstrophysics of Galaxies cs.CVComputer Vision and Pattern Recognition

On Hacker News

Linked by 5 identifiable commenters in 5 comments across 2 threads, from Apr 2019 to Apr 2019.

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Discussed in comments2 threads

  1. Unveiling the first-ever image of a black hole [video] 1 comment

    • This sort of reconstruction problem from VLBI measurements is under-determined so you need to insert priors/regularization to get anything at all. The priors in this case are pretty weak (from a quick read of the CHIRP paper). https://arxiv.org/pdf/1512.01413.pdf

      salty_biscuitsView on HNParent context

  2. Katie Bouman, the computer scientist behind the first black hole image 4 comments

    • It's also in the links in that repo, but may be more interesting to some folks here: Katie's paper on VLBI reconstruction: https://arxiv.org/abs/1512.01413 This is how I learned about the topic and I think it's well suited for computery folks, since it was published in CVPR.

      black_puppydogView on HNParent context

    • from her paper: https://arxiv.org/abs/1512.01413 > Very long baseline interferometry (VLBI) is a technique for imaging celestial radio emissions by simultaneously observing a source from telescopes distributed across Earth. The challenges in reconstructing images from fine…

      spyckie2View on HNParent context

    • I'm reluctant to even dignify this kind of low-effort drivel with a response. There's a bunch of other commits linked from that very same user profile, related to -- and this will blow your mind -- image reconstruction…

      ihnortonView on HNParent context

    • You're wrong, she did most of the work on the algorithm to make this work: https://arxiv.org/abs/1512.01413

      throc3View on HNParent context

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