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Journal Photo for Inverse Problems and Imaging
Peer reviewed only Open Access

Inverse Problems and Imaging (IPI)

Publisher : AIMS, LLC
sciences engineering MATHEMATICAL
e-ISSN 1930-8345
p-ISSN 1930-8337
Issue Frequency Quarterly
Impact Factor 1.3
Est. Year 2007
Mobile 17134170390
DOI YES
Country United States
Language English
APC YES
Impact Factor Assignee Google Scholar
Email gunther@math.washington.edu

Journal Descriptions

Inverse Problems and Imaging (IPI) publishes research articles of the highest quality that employ innovative mathematical and modeling techniques to study inverse and imaging problems arising in the sciences and engineering. 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. Inverse Problems and Imaging (IPI) 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.

Inverse Problems and Imaging (IPI) is :-

  • International, Peer-Reviewed, Open Access, Refereed, sciences, engineering, MATHEMATICAL , Online or Print , Quarterly Journal

  • UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1930-8337, E-ISSN: 1930-8345, Established: 2007, Impact Factor: 1.3
  • Provides Crossref DOI
  • Indexed in: Scopus, WoS

  • Not indexed in DOAJ, PubMed, UGC CARE

Indexing

Publications of IPI

Panos M. Pardalos August, 2021
Navigating unmanned aerial vehicles in precarious environments is of great importance. It is necessary to rely on alternative information processing techniques to attain spatial information ...
Pietro Liò June, 2024
Convolutional neural networks (CNNs) are known for their powerful feature extraction ability, and have achieved great success in a variety of image processing tasks. However, convolution fil...