Inverse Problems and Imaging (IPI)

ISSN 1930-8337(print)
ISSN 1930-8345(online)

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Inverse Problems and Imaging publishes research articles of the highest quality that employ innovative mathematical and modeling techniques to study inverse and imaging problems arising in engineering and other sciences. Every published paper has a strong mathematical orientation employing methods from such areas as control theory, discrete mathematics, differential geometry, harmonic analysis, functional analysis, integral geometry, mathematical physics, numerical analysis, optimization, partial differential equations, and stochastic and statistical methods. The field of applications includes medical and other imaging, nondestructive testing, geophysical prospection and remote sensing as well as image analysis and image processing.

This journal is committed to recording important new results in its field and will maintain the highest standards of innovation and quality. To be published in this journal, a paper must be correct, novel, nontrivial and of interest to a substantial number of researchers and readers.

  • AIMS is a member of COPE. All AIMS journals adhere to the publication ethics and malpractice policies outlined by COPE.
  • Publishes 6 issues a year in February, April, June, August, October and December.
  • Publishes online only.
  • Indexed in Science Citation Index, ISI Alerting Services, CompuMath Citation Index, Current Contents/Physical, Chemical & Earth Sciences (CC/PC&ES), INSPEC, Mathematical Reviews, MathSciNet, PASCAL/CNRS, Scopus, Web of Science and Zentralblatt MATH.
  • Archived in Portico and CLOCKSS.
  • IPI is a publication of the American Institute of Mathematical Sciences. All rights reserved.

TOP 10 Most Read Articles in IPI, September 2017


Coordinate descent optimization for l1 minimization with application to compressed sensing; a greedy algorithm
Volume 3, Number 3,  Pages: 487 - 503,  2009

Yingying Li and Stanley Osher

 Abstract       Full Text      Related Articles


Template matching via $l_1$ minimization and its application to hyperspectral data
Volume 5, Number 1,  Pages: 19 - 35,  2011

Zhaohui Guo and Stanley Osher

 Abstract       References       Full Text      Related Articles


Video stabilization of atmospheric turbulence distortion
Volume 7, Number 3,  Pages: 839 - 861,  2013

Yifei Lou, Sung Ha Kang, Stefano Soatto and Andrea L. Bertozzi

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The "exterior approach" to solve the inverse obstacle problem for the Stokes system
Volume 8, Number 1,  Pages: 23 - 51,  2014

Laurent Bourgeois and Jérémi Dardé

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Detecting small low emission radiating sources
Volume 7, Number 1,  Pages: 47 - 79,  2013

Moritz Allmaras, David Darrow, Yulia Hristova, Guido Kanschat and Peter Kuchment

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Adaptive meshing approach to identification of cracks with electrical impedance tomography
Volume 8, Number 1,  Pages: 127 - 148,  2014

Kimmo Karhunen, Aku Seppänen and Jari P. Kaipio

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Heat source identification based on $l_1$ constrained minimization
Volume 8, Number 1,  Pages: 199 - 221,  2014

Yingying Li, Stanley Osher and Richard Tsai

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Convergence rates for Kaczmarz-type regularization methods
Volume 8, Number 1,  Pages: 149 - 172,  2014

Stefan Kindermann and Antonio Leitão

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The Moreau envelope approach for the L1/TV image denoising model
Volume 8, Number 1,  Pages: 53 - 77,  2014

Feishe Chen, Lixin Shen, Yuesheng Xu and Xueying Zeng

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A Mumford-Shah level-set approach for the inversion and segmentation of SPECT/CT data
Volume 5, Number 1,  Pages: 137 - 166,  2011

Esther Klann, Ronny Ramlau and Wolfgang Ring

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